基于QFD的概念设计方法研究
|
摘要
概念设计的好坏将决定产品成功或者失败的命运。在资源有限的前提下,企业如何尽最大可能满足顾客需求,实施最大化顾客满意度的概念设计,如何系统地运用科学的质量管理方法提高概念设计的效度和效率,提升企业的创新能力已成为了当前政府、企业界和学术界广泛关注的紧迫而又重大的现实问题。而质量功能展开(QFD)理论能够为概念设计提供了一个系统性的分析方法和开放式的研究框架。进一步在QFD研究框架下结合运用多种方法改进概念设计方法,在概念设计阶段更为有效地表达、传递顾客需求信息,搜寻可满足顾客需求的解决方案,选择可最大化顾客满意度的概念设计方案,探索可指导企业产品创新实践的理论和方法,对提高我国企业自主创新能力,提高核心竞争力,具有十分重大的理论意义和现实意义。
本文在对国内外概念设计相关文献进行全面系统研究的基础上,提出一个结合经济与技术手段的系统分析框架——“基于QFD并融多方法于一体的概念设计分析方法”。该分析框架将亲和图法(KJ法)、层次分析法(AHP)、粗糙集(RS)、魅力性质量理论(KANO模型)、发明问题解决理论(TRIZ)和直觉模糊集(IFS)等方法和工具融入到QFD基本工具质量屋的构建过程中。同时,为考察粗糙集语言环境下如何更好地表达顾客需求信息,本文构建了基于修正的RAHP和KANO的顾客需求重要度算法,作为概念设计的输入信息和设计依据。在QFD与TRIZ整合分析框架中引入单一特性法则为设计人员解决技术冲突提供更为有效的途径。运用直觉模糊集(IFS)来更有效地处理概念设计方案评价不确定、多属性、群决策问题,为概念设计方案评价提供全面而有效的决策支持。
本文的研究成果和创新主要体现为基于QFD并融多方法于一体的概念设计分析方法的核心工具概念设计质量屋及其相关创新性模型与算法。该概念设计质量屋由基于KJ法的顾客需求分析、基于粗糙层次分析法(RAHP)的顾客需求基本重要度算法、基于KANO模型的顾客需求分类、市场竞争性分析、基于RAHP与KANO模型的顾客需求重要度算法,技术特性分析、技术特性自相关矩阵、顾客需求-技术特性关系矩阵、技术特性重要度算法、概念设计目标定位模型、基于TRIZ的概念设计创新方法与流程和基于IFS的方案优选模型等十二个部分组成。该概念设计质量屋的各个部分紧密结合,相辅相成,其一方面通过多种相关方法的整合运用为表达和传递多义、不确定和模糊的顾客需求信息,搜寻满足顾客需求的创新思路,优选概念设计方案提供了有效的方法支持；另一方面其采用了经济与技术手段相结合的方法分析方法来研究概念设计决策问题,系统性地回答了概念设计的核心问题,即如何在资源有限的条件下在概念设计阶段最大化顾客的满意度这一问题。
全文通过汽车方向盘的一系列的相互衔接的案例验证了基于QFD并融多方法于一体的概念设计质量屋及其相关方法整合具有可行性和有效性,并丰富和拓展了QFD理论,改进了现有的概念设计方法,有较强的理论意义和实践价值。
The quality of the conceptual design will determine the fate of product. It's an important practical question to the government, business and academic that how to carry out conceptual design to meet customer needs to the highest extent, how to apply the quality management method to improve the efficiency of the conceptual design, and how to enhance the innovation capability of enterprises in the context of limited resources. The theory of quality function deployment (QFD) can provide a systematic research framework for conceptual design in the research and development (R&D) for product. It is of great theoretical and practical significance to improve China's capability of independent innovation and enhance core competitiveness of enterprises that how to improve the method of conceptual design in the framework of QFD, to express and transmit information more effectively in the conceptual design stage, to resolve technical conflicts, to choice the conceptual design solution to the maximize customer satisfaction and to explore the available product innovation theories and methods.
A system analysis framework which combined the economic and technical means-conceptual design analysis methods which embodied multiple methods based on QFD is proposed on the basis of a review of existing studies of conceptual design. The affinity diagram (KJ method), analytic hierarchy process (AHP). rough sets (RS), attractive quality theory (KANO model), theory of inventive problem solving (TRIZ) and the intuitionistic fuzzy sets (IFS), etc. are embodied the house of quality(HOQ) of QFD. Meanwhile, the author constructs the algorithm for importance of the customer needs based on modified RAHP and KANO to express customer needs. The single feature law is introduced into the meta-analysis framework of QFD and TRIZ to resolve technical conflicts for designers. Finally, the IFS is applied to deal with the conceptual design evaluation of uncertain, multi-attribute group decision making and provide the decision support for conceptual design evaluation.
The main result and innovation of this dissertation makes is the core conceptual design analysis tool which embodied many methods based on QFD-the HOQ for conceptual design. The house of quality (HOQ) for conceptual design consists of twelve parts-the customer needs analysis based on KJ method, the basic algorithm of the importance of customer demand based on rough AHP (RAHP), the classification of customer demand based on KANO model, the market competition analysis, the algorithm of the importance of customer demand based on RAHP and KANO. the analysis of technical characteristics, the correlation matrix of technical characteristics, the relationship matrix of customer needs-technical characteristics, the importance degree algorithm of technical characteristics, the target location model for conceptual design, the conceptual design innovation methods and processes based on TRIZ and the optimization program models based on IFS. The various parts of the HOQ of conceptual design are closely integrated and mutually reinforcing. On the one hand, the HOQ of conceptual design provide method support with the integration of a variety of related methods to empress and transfer the ambiguity, uncertainty and vague information of customer demand, search innovative thoughts to meet customer needs and optimize the conceptual design program. On the other hand, the HOQ of conceptual design used a combination of economic and technical analysis methods study the decisions problem in conceptual design and resolve systematically the core question in conceptual design, i.e. how to maximize the customer satisfaction in the conditions of limited resources in the conceptual design phase.
A series of cases of a steering wheel verified that the HOQ of conceptual design which embodies multiple methods based on QFD and the integration of related methods are feasible and effective, develop the QFD theory and improve the existing methods of conceptual design with a strong theoretical and practical value.
本文在对国内外概念设计相关文献进行全面系统研究的基础上,提出一个结合经济与技术手段的系统分析框架——“基于QFD并融多方法于一体的概念设计分析方法”。该分析框架将亲和图法(KJ法)、层次分析法(AHP)、粗糙集(RS)、魅力性质量理论(KANO模型)、发明问题解决理论(TRIZ)和直觉模糊集(IFS)等方法和工具融入到QFD基本工具质量屋的构建过程中。同时,为考察粗糙集语言环境下如何更好地表达顾客需求信息,本文构建了基于修正的RAHP和KANO的顾客需求重要度算法,作为概念设计的输入信息和设计依据。在QFD与TRIZ整合分析框架中引入单一特性法则为设计人员解决技术冲突提供更为有效的途径。运用直觉模糊集(IFS)来更有效地处理概念设计方案评价不确定、多属性、群决策问题,为概念设计方案评价提供全面而有效的决策支持。
本文的研究成果和创新主要体现为基于QFD并融多方法于一体的概念设计分析方法的核心工具概念设计质量屋及其相关创新性模型与算法。该概念设计质量屋由基于KJ法的顾客需求分析、基于粗糙层次分析法(RAHP)的顾客需求基本重要度算法、基于KANO模型的顾客需求分类、市场竞争性分析、基于RAHP与KANO模型的顾客需求重要度算法,技术特性分析、技术特性自相关矩阵、顾客需求-技术特性关系矩阵、技术特性重要度算法、概念设计目标定位模型、基于TRIZ的概念设计创新方法与流程和基于IFS的方案优选模型等十二个部分组成。该概念设计质量屋的各个部分紧密结合,相辅相成,其一方面通过多种相关方法的整合运用为表达和传递多义、不确定和模糊的顾客需求信息,搜寻满足顾客需求的创新思路,优选概念设计方案提供了有效的方法支持；另一方面其采用了经济与技术手段相结合的方法分析方法来研究概念设计决策问题,系统性地回答了概念设计的核心问题,即如何在资源有限的条件下在概念设计阶段最大化顾客的满意度这一问题。
全文通过汽车方向盘的一系列的相互衔接的案例验证了基于QFD并融多方法于一体的概念设计质量屋及其相关方法整合具有可行性和有效性,并丰富和拓展了QFD理论,改进了现有的概念设计方法,有较强的理论意义和实践价值。
The quality of the conceptual design will determine the fate of product. It's an important practical question to the government, business and academic that how to carry out conceptual design to meet customer needs to the highest extent, how to apply the quality management method to improve the efficiency of the conceptual design, and how to enhance the innovation capability of enterprises in the context of limited resources. The theory of quality function deployment (QFD) can provide a systematic research framework for conceptual design in the research and development (R&D) for product. It is of great theoretical and practical significance to improve China's capability of independent innovation and enhance core competitiveness of enterprises that how to improve the method of conceptual design in the framework of QFD, to express and transmit information more effectively in the conceptual design stage, to resolve technical conflicts, to choice the conceptual design solution to the maximize customer satisfaction and to explore the available product innovation theories and methods.
A system analysis framework which combined the economic and technical means-conceptual design analysis methods which embodied multiple methods based on QFD is proposed on the basis of a review of existing studies of conceptual design. The affinity diagram (KJ method), analytic hierarchy process (AHP). rough sets (RS), attractive quality theory (KANO model), theory of inventive problem solving (TRIZ) and the intuitionistic fuzzy sets (IFS), etc. are embodied the house of quality(HOQ) of QFD. Meanwhile, the author constructs the algorithm for importance of the customer needs based on modified RAHP and KANO to express customer needs. The single feature law is introduced into the meta-analysis framework of QFD and TRIZ to resolve technical conflicts for designers. Finally, the IFS is applied to deal with the conceptual design evaluation of uncertain, multi-attribute group decision making and provide the decision support for conceptual design evaluation.
The main result and innovation of this dissertation makes is the core conceptual design analysis tool which embodied many methods based on QFD-the HOQ for conceptual design. The house of quality (HOQ) for conceptual design consists of twelve parts-the customer needs analysis based on KJ method, the basic algorithm of the importance of customer demand based on rough AHP (RAHP), the classification of customer demand based on KANO model, the market competition analysis, the algorithm of the importance of customer demand based on RAHP and KANO. the analysis of technical characteristics, the correlation matrix of technical characteristics, the relationship matrix of customer needs-technical characteristics, the importance degree algorithm of technical characteristics, the target location model for conceptual design, the conceptual design innovation methods and processes based on TRIZ and the optimization program models based on IFS. The various parts of the HOQ of conceptual design are closely integrated and mutually reinforcing. On the one hand, the HOQ of conceptual design provide method support with the integration of a variety of related methods to empress and transfer the ambiguity, uncertainty and vague information of customer demand, search innovative thoughts to meet customer needs and optimize the conceptual design program. On the other hand, the HOQ of conceptual design used a combination of economic and technical analysis methods study the decisions problem in conceptual design and resolve systematically the core question in conceptual design, i.e. how to maximize the customer satisfaction in the conditions of limited resources in the conceptual design phase.
A series of cases of a steering wheel verified that the HOQ of conceptual design which embodies multiple methods based on QFD and the integration of related methods are feasible and effective, develop the QFD theory and improve the existing methods of conceptual design with a strong theoretical and practical value.
引文
[1]Akao, Y. Quality function deployment:Integrating customer requirements into product design. Cambridge, MA:Springer,1990
[2]Akao, Y. Standardization and Quality Control. New product development and quality assurance—quality deployment system,1972,25 (4):7-14
[3]Akao, Y.& Mazur, G. H. The leading edge in QFD:past, present and future. International Journal of Quality and Reliability Management,2003,20 (1):20-35
[4]Akay, D., Demiray, A.& Kurt, M. Collaborative tool for solving human factors problems in the manufacturing environment:The Theory of Inventive Problem Solving Technique (TRIZ) method. International Journal of Production Research, 2008,46 (11):2913-2925
[5]Alba, J. W. Knowledge Calibration:What Consumers Know and What They Think They Know. Journal of Consumer.2000.27 (9):123-156
[6]Almannai, B., Greenough, R.& Kay, J. A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies. Robotics and Computer-Integrated Manufacturing,2008,24 (4):501-507
[7]Altshuller, G. S. Creativity as an Exact Science:The Theory of Inventive Problem Solving. New York:Gordon and Breach,1988
[8]Andersen, M.& Khler, S. Design for Assembly. Bedford. UK:IFS Publications, 1983
[9]Angelov, P. P. Optimization in an intuitionistic fuzzy environment. Fuzzy Sets and Systems,1997,86 (3):299-306
[10]Armacost, R. L., P., C.& A., M. M. et al. An AHP framework for prioritizing customer requirements in QFD:an industrialized housing application. HE Transactions,1994,26 (4):72-79
[11]Artes, J. C., Llibre, J.& Schlomiuk, D. The geometry of quadratic polynomial differential systems with a weak focus and an invariant straight line. International Journal of Bifurcation and Chaos,2010,20 (11):3627-3662
[12]Atanassov, K. T. Intuitionistic fuzzy sets. Fuzzy Sets and Systems,1986,20 (1): 87-96
[13]Atanassov, K.& Gargov, G. Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems,1989,31 (3):343-349
[14]Atanassov, K. T. Remarks on the intuitionistic fuzzy sets--Ⅲ. Fuzzy Sets and Systems,1995,75 (3):401-402
[15]Atanassov, K. T. New operations defined over the intuitionistic fuzzy sets. Fuzzy Sets and Systems,1994,61 (2):137-142
[16]Atanassov, K. T. Operators over interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems,1994,64 (2):159-174
[17]Atanassov, K. T. Remarks on the intuitionistic fuzzy sets. Fuzzy Sets and Systems, 1992,51 (1):117-118
[18]Atanassov, K. T. More on intuitionistic fuzzy sets. Fuzzy Sets and Systems,1989, 33 (1):37-45
[19]Atanassov, K. T. Research on intuitionistic fuzzy sets in Bulgaria. Fuzzy Sets and Systems,1987,22 (1-2):193
[20]Atanassov, K. T. Intuitionistic fuzzy sets. Fuzzy Sets and Systems,1986,20 (1): 87-96
[21]Aungst, S., Barton, R.& Wilson. D. The Virtual Integrated Design Method: Instiyute for Study of Business Markets, the Pennsylvania State University,2001
[22]Bahrami, A., Lynch, M.& Dagli, C. Intelligent design retrieval and packing system:application of neural networks in design and manufacturing. Int J Production Res.1995.33 (2):405-426
[23]Ban, A. I.& Gal, S. G. Decomposable measures and information measures for intuitionistic fuzzy sets. Fuzzy Sets and Systems,2001,123 (1):103-117
[24]Bandlow, J., Schilling. A.& Thiery, N. M. On the uniqueness of promotion operators on tensor products of type A crystals. Journal of Algebraic Combinatorics.2010,31 (2):217-251
[25]Barbarosoglu. D.& Pihas. H. Capital rating in the public sector using the analytic hierarchy process. The Engineering Economist,1995,40 (4):315-329
[26]Bariani. P. F., Berti, G. A.& Lucchetta, G. A combined DFMA and TRIZ approach to the simplification of product structure:Professional Engineering Publishing Ltd.,2004:1023-1027
[27]Barreto, S., Ferreira, C.& Paix, J. et al. Using clustering analysis in a capacitated location-routing problem. European Journal of Operational Research,2007,179 (3):968-977
[28]Belecheanu, R., Pawar, K. S.& Barson, R. J. et al. The application of case based reasoning to decision support in new product development. Integrated Manufacturing Systems,2003,14(1):36-45
[29]Beliakov, G., Bustince, H.& Goswami, D. P. et al. On averaging operators for Atanassov's intuitionistic fuzzy sets. Information Sciences,2011,181 (6) 1116-1124
[30]Benner, M., Linnemann, A. R.& Jongen. W. M. F. et al. Quality Function Deployment (QFD)--can it be used to develop food products?. Food Quality and Preference,2003,14 (4):327-339
[31]Bergeron, T. K.,Dubois, Y. M.& Dumont, H. G. et al. Intensive Care Delirium Screening Checklist:evaluation of a new screening tool. Intensive Care Medicine, 2001,27 (5):859-864
[32]Bergquist, K.& Abeysekera, J. Quality function deployment (QFD)--A means for developing usable products. International Journal of Industrial Ergonomics, 1996,18 (4):269-275
[33]Bevilacqua, M., Ciarapica, F. E.& Giacchetta, G. A fuzzy-QFD approach to supplier selection. Journal of Purchasing and Supply Management,2006,12(1): 14-27
[34]Bhattacharya, A., Geraghty. J.& Young, P. Supplier selection paradigm:An integrated hierarchical QFD methodology under multiple-criteria environment. Applied Soft Computing,2010,10 (4):1013-1027
[35]Bitner, M. J. S. W. Technology Infusion in Service Encounters. Journal of the Academy of Marketing Science,2000,28 (1):138-149
[36]Bitran, G. R., Ferrer, J.& E Oliveira, P. R. Managing customer experiences: Perspectives on the temporal aspects of service encounters. Manufacturing and Service Operations Management,2008,10 (1):61-83
[37]Bodi, A., Stevens, W. R.& Baer, T. Understanding the complex dissociation dynamics of energy selected dichloroethylene ions:Neutral isomerization energies and heats of formation by imaging photoelectron-photoion coincidence. Journal of Physical Chemistry A,2011,115 (5):726-734
[38]Boothroyd, G., Dewhurst, P.& Knight, W. Product design for manufacture and assembly. New York:Marcel Dekker,1994
[39]Boothroyd, G. Product design for manufacture and assembly. Computer-Aided Design,1994,26 (7):505-520
[40]Boran, F. E., Gen, S.& Kurt, M. et al. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications,2009,36 (8):11363-11368
[41]Bottani, E. A fuzzy QFD approach to achieve agility. International Journal of Production Economics,2009,119 (2):380-391
[42]Bottani, E.& Rizzi, A. Strategic management of logistics service:A fuzzy QFD approach. International Journal of Production Economics,2006,103(2):585-599
[43]Bouchereau, V.& Rowlands, H. Methods and techniques to help quality function deployment (QFD). Benchmarking:An International Journal,2000,7(1):8-20
[44]Boutin, A., Couck, S.& Coudert, F. et al. Thermodynamic analysis of the breathing of amino-functionalized MIL-53(Al) upon CO2 adsorption. Microporous and Mesoporous Materials,2011,140 (1-3):108-113
[45]Brackin, P.& Colton, J. S. Using genetic algorithms to set target values for engineering characteristics in the house of quality. Journal of Computing and Information Science in Engineering (Transactions of the ASME).,2002,2(2) 106-114
[46]Bralla, J. G.& James. G. Handbook of product design for manufacturing:a practical guide to low-cost production. New York:McGraw-Hill,1986
[47]Bustince, H.& Burillo, P. Vague sets are intuitionistic fuzzy sets. Fuzzy Sets and Systems,1996,74:237-244
[48]Bustince, H.& Burillo, P. Correlation of interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems,1995,74 (2):237-244
[49]Bustince, H., Kacprzyk, J.& Mohedano, V. Intuitionistic fuzzy generators Application to intuitionistic fuzzy complementation. Fuzzy Sets and Systems, 2000,114 (3):485-504
[50]Buyukozkan, G., Ertay, T.& Kahraman, C. et al. Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach. International Journal of Intelligent Systems,2004,19 (5):443-461
[51]Cao, D. X., Zhu, N. H.& Cui, C. X. et al. An agent-based framework for guiding conceptual design of mechanical products.4 Park Square, Milton Park, Abingdon, Oxfordshire, OX14 4RN, United Kingdom:Taylor and Francis Ltd.,2008: 2381-2396
[52]Cariaga, I., El-Diraby, T.& Osman, H. Integrating value analysis and quality function deployment for evaluating design alternatives. Journal of Construction Engineering and Management,2007,133 (10):761-770
[53]Carnevalli, J. A., Miguel, P. A. C.& Calarge, F. A. Axiomatic design application for minimising the difficulties of QFD usage. International Journal of Production Economics,2010,125 (1):1-12
[54]Carnevalli, J. A.& Miguel, P. C. Review, analysis and classification of the literature on QFD--Types of research, difficulties and benefits. International Journal of Production Economics,2008,114 (2):737-754
[55]Celik, M., Cebi, S.& Kahraman, C. et al. An integrated fuzzy QFD model proposal on routing of shipping investment decisions in crude oil tanker market. Expert Systems with Applications,2009,36 (3, Part 2):6227-6235
[56]Chaira, T. A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images. Applied Soft Computing,2011,11(2):1711-1717
[57]Chakraborty, S.& Dey, S. QFD-based expert system for non-traditional machining processes selection. Expert Systems with Applications,2007,32 (4) 1208-1217
[58]Chan, C. Y. P., Taylor, G.& Ip, W. C. Applying QFD to develop a training course for clothing merchandisers. TQM Journal,2009,21 (1):34-45
[59]Chan, L.& Wu. M. Quality function deployment:A literature review. European Journal of Operational Research,2002,143 (3):463-497
[60]Chang, C. A.& Tsai. C. Y. Using ART1 neural networks with destructive solid geometry for design retrieving systems. Computers in Industry,1997,34 (1) 27-41
[61]Chen, C. H., Khoo, L. P.& Yan, W. Web-enabled customer-oriented product concept formation via laddering technique and Kohonen association. Concurrent Engineering:Research and Applications,2002,10 (4):299-310
[62]Chen, C., Khoo, L. P.& Yan, W. PDCS--a product definition and customisation system for product concept development. Expert Systems with Applications, 2005,28 (3):591-602
[63]Chen, C., Khoo. L. P.& Yan, W. A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network. Advanced Engineering Informatics,2002,16 (3):229-240
[64]Chen, C.& Yan, W. An in-process customer utility prediction system for product conceptualisation. Expert Systems with Applications,2008,34 (4):2555-2567
[65]Chen, L.& Ko, W. Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept. European Journal of Operational Research,2010,201 (2):619-632
[66]Chen, L.& Ko, W. Fuzzy linear programming models for new product design using QFD with FMEA. Applied Mathematical Modelling,2009,33(2):633-647
[67]Chen, L.& Ko, W. A fuzzy nonlinear model for quality function deployment considering Kano's concept. Mathematical and Computer Modelling,2008,48 (3-4):581-593
[68]Chen, L.& Weng, M. An evaluation approach to engineering design in QFD processes using fuzzy goal programming models. European Journal of Operational Research,2006,172 (1):230-248
[69]Chen, L.& Weng. M. A fuzzy model for exploiting quality function deployment. Mathematical and Computer Modelling.2003,38 (5-6):559-570
[70]Chen, S. L., Jiao. R. J.& Tseng, M. M. Evolutionary product line design balancing customer needs and product commonality. CIRP Annals Manufacturing Technology,2009,58 (1):123-126
[71]Chen, S. M.& Tan, J. M. Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets and Systems,1994,67 (2):163-172
[72]Chen, T. Bivariate models of optimism and pessimism in multi-criteria decision-making based on intuitionistic fuzzy sets. Information Sciences.2011, 181 (11):2139-2165
[73]Chen, T. An outcome-oriented approach to multicriteria decision analysis with intuitionistic fuzzy optimistic/pessimistic operators. Expert Systems with Applications,2010,37 (12):7762-7774
[74]Chen, T.& Li, C. Determining objective weights with intuitionistic fuzzy entropy measures:A comparative analysis. Information Sciences,2010,180 (21) 4207-4222
[75]Chen, T., Wang, H.& Lu, Y. A multicriteria group decision-making approach based on interval-valued intuitionistic fuzzy sets:A comparative perspective. Expert Systems with Applications,2011,38 (6):7647-7658
[76]Chen, Y., Fung, R. Y. K.& Tang, J. Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator. European Journal of Operational Research,2006,174 (3):1553-1566
[77]Cheng, Y.& Leu, S. Integrating data mining with KJ method to classify bridge construction defects. Expert Systems with Applications,2011,38 (6):7143-7150
[78]Cho, H. Development of high strength and high conductivity Cu-Ag-Zr alloy. Cairns, QLD, Australia:Trans Tech Publications Ltd,2010:1323-1326
[79]Chou, Y. Applying neural networks in quality function deployment process for conceptual design. Journal of the Chinese Institute of Industrial Engineers,2004, 21 (6):587-596
[80]Cimren, E., Catay, B.& Budak, E. Development of a machine tool selection system using AHP. The International Journal of Advanced Manufacturing Technology,2007,35 (3):363-376
[81]Comstock, M., Johansen, K.& Winroth, M. From mass production to mass customization:Enabling perspectives from the Swedish mobile telephone industry. Production Planning and Control,2004,15 (4):362-372
[82]Cornelis, C., De Cock, M.& Eikerre, E. Intuitionistic fuzzy rough sets:At the crossroads of imperfect knowledge. Expert Systems,2003,20 (5):260-270
[83]Cornelis, C., Deschrijver, G.& Kerre, E. E. Implication in intuitionistic fuzzy and interval-valued fuzzy set theory:construction, classification, application. International Journal of Approximate Reasoning,2004,35 (1):55-95
[84]Cristea, I.& Davvaz, B. Atanassov's intuitionistic fuzzy grade of hypergroups. Information Sciences,2010,180 (8):1506-1517
[85]Cristiano, J. J., Liker, J. K.& White, C. C. Customer-driven product development through Quality Function Deployment in the U.S. and Japan. Journal of Product Innovation Management,2000,17 (4):286-308
[86]Curran, R., Price, M.& Raghunathan, S. et al. Integrating aircraft cost modeling into conceptual design. Concurrent Engineering Research and Applications,2005, 13 (4):321-330
[87]Czogala, E., Mrozek, A.& Pawlak, Z. The idea of a rough fuzzy controller and its application to the stabilization of a pendulum-car system. Fuzzy Sets and Systems, 1995,72 (1):61-73
[88]Dahan, E.& Hauser, J. R. The virtual customer. Journal of Product Innovation Management,2002,19 (5):332-353
[89]Danaher, P. J. Using conjoint analysis to determine the relative importance of service attributes measured in customer satisfaction surveys. Journal of Retailing, 1997,73 (2):235-260
[90]De Joannis, J., Coppock, P. S.& Yin, F. et al. Atomistic simulation of cholesterol effects on miscibility of saturated and unsaturated phospholipids:Implications for liquid-ordered/liquid-disordered phase coexistence. Journal of the American Chemical Society,2011,133 (10):3625-3634
[91]De Troyer, O.& Casteleyn, S. Exploiting link types during the conceptual design of websites. International Journal of Web Engineering and Technology,2003,1 (1):17-40
[92]Deschrijver, G.& Kerre, E. E. On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision. Information Sciences,2007. 177 (8):1860-1866
[93]Deschrijver, G.& Kerre, E. E. On the relationship between some extensions of fuzzy set theory. Fuzzy Sets and Systems.2003,133 (2):227-235
[94]Dikmen. I., Birgonul, T. M.& Kiziltas, S. Strategic use of quality function deployment (QFD) in the construction industry. Building and Environment,2005. 40 (2):245-255
[95]Domb, E. QFD and TIPS/TRIZ.. TRIZ Journal,2001,11:34-50
[96]Dubois, D.& Prade. H. Twofold fuzzy sets and rough sets--Some issues in knowledge representation. Fuzzy Sets and Systems,1987,23 (1):3-18
[97]Edgeman, R. L. A. H. QFD and the BEST paradigm:deployingsustainable solutions. World Review of Science,Technology and Sustainable development, 2005,2(1):49-59
[98]Eijt. S. W. H., Leegwater, H.& Schut. H. et al. Layer-resolved study of the Mg to MgH2 transformation in Mg-Ti films with short-range chemical order,2010
[99]Eric, V. H.& Katz, R. Shifting Innovation to Users via Toolkits. Management Science,2002,48 (7):821-833
[100]Eyet, N., Freel, K.& Heaven. M. C. et al. Reactions of negative ions with ClN3 at 300 K. Journal of Physical Chemistry A,2010,114 (25):6832-6836
[101]French, M. J. Conceptual Design for Engineers. London, UK:The Design Council.1985:1-97
[102]Fresner, J., Jantschgi, J.& Birkel, S. et al. The theory of inventive problem solving (TRIZ) as option generation tool within cleaner production projects. Journal of Cleaner Production,2010,18 (2):128-136
[103]Fresner, J., Jantschgi, J.& Birkel, S. et al. The theory of inventive problem solving (TRIZ) as option generation tool within cleaner production projects. Journal of Cleaner Production,2010,18 (2):128-136
[104]Fu, R., Chang, B.& Qian, Y. et al. The research of surface state and photoelectronic emission characteristic of NEA GaN photocathode. Nanjing, China:IEEE Computer Society,2010:82-83
[105]Fuchs, C.& Schreier, M. Customer empowerment in new product development. Journal of Product Innovation Management,2011,28 (1):17-32
[106]Fung, R. Y. K., Chen, Y.& Tang, J. A quality-engineering-based approach for conceptual product design. International Journal of Advanced Manufacturing Technology,2007,32 (11-12):1064-1073
[107]Garibay, C., Gutirez, H.& Figueroa, A. Evaluation of a Digital Library by Means of Quality Function Deployment (QFD) and the Kano Model. The Journal of Academic Librarianship,2010,36 (2):125-132
[108]Geng, X., Chu, X.& Xue, D. et al. An integrated approach for rating engineering characteristics' final importance in product-service system development. Computers & Industrial Engineering,2010,59 (4):585-594
[109]Ginn, D., Zairi, M.& Ahmed, P. K. Enhancing agility in manufacturing:The role of QFD,2001:157-174
[110]Gong, Z., Li, L.& Zhou, F. et al. Goal programming approaches to obtain the priority vectors from the intuitionistic fuzzy preference relations. Computers & Industrial Engineering,2009,57 (4):1187-1193
[111]Govers, C. P. M. What and how about quality function deployment (QFD). International Journal of Production Economics,1996,46-47:575-585
[112]Govers, C. P. M. QFD not just a tool but a way of quality management. International Journal of Production Economics,2001,69 (2):151-159
[113]Gu, P., Hashemian, M.& Sosale, S. et al. Module Formation Algorithms for Product Life Cycle Configuration Design. Vancouver,1998
[114]Gu, P.& Singh, D. Product life-cycle serviceability analysis for supporting engineering design. I. activity based cost analysis of life-cycle services.. Eng Design and Automation,1997,3(3):255-274
[115]Gu, P.& Yan, X. Neural network approach to the reconstruction of freeform surfaces for reverse engineering. Computer-Aided Design,1995,27 (1):59-64
[116]Handfield, R., Walton, S. V.& Sroufe, R. et al. Applying environmental criteria to supplier assessment:A study in the application of the Analytical Hierarchy Process. European Journal of Operational Research,2002,141 (1):70-87
[117]Hari, A., Weiss, M. P.& Zonnenshain. A. Design Quality Metrics as a Quantitative Tools for the Conceptual Design of a New Product. Glasgow,2001
[118]Hashemian. M.& Gu, P. Representation and retrieval of design knowledge for conceptual design. Tokyo,1996:85-94
[119]Hassan, A., Siadat, A.& Dantan, J. et al. Conceptual process planning-an improvement approach using QFD, FMEA, and ABC methods. Robotics and Computer-Integrated Manufacturing,2010,26 (4):392-401
[120]Hauser, J. R. C. D. The house of quality. Harvard business review,1988,66(3): 63-73
[121]Hinkle, D. The change of personal constructs from the viewpoint of a theory of construct implications. PhD Thesis, Ohio State University,1965
[122]Hong, D. H.& Choi, C. Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets and Systems,2000,114 (1):103-113
[123]Hongre, L. Identifying the most promising business model by using the
[124]analytic hierarchy process approach. Amsterdam, Netherlands.,2006
[125]Horskey, D., Nelson, P.& Posavac, S. S. Stating Preference for the Ethereal but Choosing the Concrete:How the Tangibility of Attributes Affects Attribute Weighting in Value Elicitation and Choice. Journal of Consumer Psychology, 2004,14 (1-2):132-140
[126]Hoyle, C. J.& Chen, W. Product attribute function deployment (PAFD) for decision-based conceptual design. IEEE Transactions on Engineering Management,2009,56 (2):271-284
[127]Hsu, W., Jerry Fuh, Y. H.& Zhang, Y. Synthesis of design concepts from a design for assembly perspective. Computer Integrated Manufacturing Systems, 1998.11 (1-2):1-13
[128]Huang, G. Q.& Mak, K. L. Synchronous quality function deployment (QFD) over world wide web. Computers & Industrial Engineering,2002,42 (2-4) 425-431
[129]Huang, H., Bo, R.& Chen, W. An integrated computational intelligence approach to product concept generation and evaluation. Mechanism and Machine Theory,2006,41 (5):567-583
[130]Huang, S. H.& Zhang, H. Neural-expert hybrid approach for intelligent manufacturing:A survey. Computers in Industry,1995.26 (2):107-126
[131]Huang, Y. M. On the general evaluation of customer requirements during conceptual design. Journal of Mechanical Design, Transactions of the ASME. 1999,121 (1):92-97
[132]Jackson, A. G., Pawlak, Z.& LeClair, S. R. Rough sets applied to the discovery of materials knowledge. Journal of Alloys and Compounds,1998.279 (1):14-21
[133]Jagdev, H., Bradley, P.& Molloy, O. A QFD based performance measurement tool. Computers in Industry,1997,33 (2-3):357-366
[134]Jain, V. K.& Sobek Ⅱ, D. K. Linking design process to customer satisfaction through virtual design of experiments. Research in Engineering Design,2006,17 (2):59-71
[135]Jia, G. Z.& Bai, M. An approach for manufacturing strategy development based on fuzzy-QFD. Computers & Industrial Engineering,2011,60 (3):445-454
[136]Jiang, Y., Tang, Y.& Chen, Q. An adjustable approach to intuitionistic fuzzy soft sets based decision making. Applied Mathematical Modelling,2011,35 (2): 824-836
[137]Jiang, Y., Tang, Y.& Chen, Q. et al. Interval-valued intuitionistic fuzzy soft sets and their properties. Computers & Mathematics with Applications,2010,60 (3): 906-918
[138]Jin, Y.& Benami, O. Creative patterns and stimulation in conceptual design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM,2010,24 (2):191-209
[139]Johns, A. M.& Swales, J. M. Past imperfect continuous:Reflections on two ESP lives. English for Specific Purposes,1998,17(1):15-28
[140]Juan, Y., Perng, Y.& Castro-Lacouture, D. et al. Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach. Automation in Construction,2009,18 (2):139-144
[141]Juttner, U., Christopher, M.& Baker, S. Demand chain management-integrating marketing and supply chain management. Industrial Marketing Management. 2007,36 (3):377-392
[142]Kahraman, C., Ertay, T.& Bekan, G. A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research,2006,171 (2):390-411
[143]Kamarthi, S. V., Kumara, S. T.& Yu, F. T. S. et al. Neural networks and their applications in component design data retrieval. Journal of Intelligent Manufacturing,1990,1(2):125-140
[144]Kano, M., Mukai, Y.& Hasebe, S. How to Estimate True Effect of Changing Operating Condition on Product Quality:ICA-Based Approach,2009, Volume 26: 1015-1019
[145]Kano, N. Life cycle and creation of attractive quality. Linkoping, Sweden,2001
[146]Kano, N., Seraku, N.& Takahashi, F. Attractive quality and must-be quality. Journal of the Japanese Society for Quality Control,1984,14 (2):39-48
[147]Kami, R.& Kaner, M. Teaching innovative conceptual design of systems in the service sector. Technological Forecasting and Social Change,2000,64 (2-3) 225-240
[148]Kazemzadeh, R. B., Behzadian, M.& Aghdasi, M. et al. Integration of marketing research techniques into house of quality and product family design. International Journal of Advanced Manufacturing Technology,2009,41 (9-10):1019-1033
[149]Kelly, G. A. The psychology of personal constructs. New York:W.W. Norton, 1955
[150]Khademi-Zare, H., Zarei, M.& Sadeghieh, A. et al. Ranking the strategic actions of Iran mobile cellular telecommunication using two models of fuzzy QFD. Telecommunications Policy,2010,34 (11):747-759
[151]Khatibi, V.& Montazer, G. A. Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition. Artificial Intelligence in Medicine,2009,47 (1): 43-52
[152]Khoo, L.& Zhai, L. A prototype genetic algorithm-enhanced rough set-based rule induction system. Computers in Industry,2001,46 (1):95-106
[153]Kim, D.& Kim, K. Robustness indices and robust prioritization in QFD. Expert Systems with Applications,2009,36 (2, Part 2):2651-2658
[154]Kim, G., Kim, A.& Sohn, S. Y. Conjoint analysis for luxury brand outlet malls in Korea with consideration of customer lifetime value. Expert Systems with Applications,2009,36 (1):922-932
[155]Kim. J., Kim, J.& Lee, Y. et al. Application of TRIZ creativity intensification approach to chemical process safety. Journal of Loss Prevention in the Process Industries,2009,22 (6):1039-1043
[156]Kim, K., Moskowitz, H.& Dhingra, A. et al. Fuzzy multicriteria models for quality function deployment. European Journal of Operational Research,2000, 121 (3):504-518
[157]Kim, S. H., Choi, S. H.& Kim. J. K. Interactive procedure for multiple attribute group decision making with incomplete information:Range-based approach. European Journal of Operational Research,1999,118(1):139-152
[158]Klir, G. J., Clair, S. U.& Yuan. B. Fuzzy set theory:foundations and applications. Englewood Cliffs. Upper Saddle River, New Jersey:Prentice Hall, 1997
[159]Korayem, M. H.& Iravani, A. Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches. Robotics and Computer-Integrated Manufacturing,2008,24 (3):472-487
[160]Kraus, S. J. Attitudes and the prediction of behavior:A meta-analysis of the empirical literature. Personality & social psychology bulletin,1995,21 (1):58-75
[161]Kuijt-Evers, L. F. M., Morel, K. P. N.& Eikelenberg, N. L. W. et al. Application of the QFD as a design approach to ensure comfort in using hand tools:Can the design team complete the House of Quality appropriately?. Applied Ergonomics, 2009,40 (3):519-526
[162]Kuipers, B. Qualitative reasoning:modeling and simulation with incomplete knowledge. Cambridge, Massachusetts:MIT Press,1994
[163]Kumar Mondal, T.& Samanta, S. K. Topology of interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems,2001,119 (3):483-494
[164]Kuncheva, L. I. Fuzzy rough sets:Application to feature selection. Fuzzy Sets and Systems,1992,51 (2):147-153
[165]Kusiak, A.& Wang, J. Decomposition of the Design Process. Journal of Mechanical Design,1993,115 (4):687-695
[166]Kwong, C. K.& Bai, H. Determining the Importance Weights for the Customer Requirements in QFD Using a Fuzzy AHP with an Extent Analysis Approach. HE Transactions,2003,35 (7):619-626
[167]Kwong, C. K.& Bai, H. A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of Intelligent Manufacturing,2002,13 (5):367-377
[168]Kwong, C. K., Chen, Y.& Bai, H. et al. A methodology of determining aggregated importance of engineering characteristics in QFD. Computers & Industrial Engineering,2007,53 (4):667-679
[169]Lager, M. T. T. QFD--linking the customer to the product development process as a part of the TQM concept. R&D Management,1995 (7):257-267
[170]Lakshmana Gomathi Nayagam, V., Muralikrishnan, S.& Sivaraman, G. Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets. Expert Systems with Applications,2011,38 (3):1464-1467
[171]Leary, M.& Burvill, C. Enhancing the quality function deployment conceptual design tool. Journal of Mechanical Design, Transactions of the ASME,2007,129 (7):701-708
[172]Lee, D. H., Kim, S. H.& Ahn, B. S. A conjoint model for Internet shopping malls using customer's purchasing data. Expert Systems with Applications,2000, 19(1):59-66
[173]Lee, J. H.& Kwak, B. M. Reliability-based structural optimal design using the Neumann expansion technique. Computers & Structures,1995,55 (2):287-296
[174]Lee, M. C.& Newcomb, J. F. Applying the Kano methodology to meet customer requirements:NASA's Microgravity science program. Qualify Management Journal,1997,4 (3):95-110
[175]Lee, M. W., Yun, M. H.& Jung, E. S. et al. High Touch:Ergonomics in a conceptual design process-Case studies of a remote controller and personal telephones. International Journal of Industrial Ergonomics,1997,19(3):239-248
[176]Leon, N.& Aguayo, I. H. A new model of the conceptual design process using QFD/FA/TRIZ. TRIZ Journal,1998 (7):3-15
[177]Li, D. F. Extension of the LINMAP for multiattribute decision making under Atanassov's intuitionistic fuzzy environment. Fuzzy Optimization and Decision Making,2008,7 (1):17-34
[178]Li, D. F. Some measures of dissimilarity in intuitionistic fuzzy structures. Journal of Computer and System Sciences,2004,68 (1):115-122
[179]Li, D. F. Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets. Expert Systems with Applications,2010, 37 (12):8673-8678
[180]Li, D. F. Multiattribute decision making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences,2005,70 (1):73-85
[181]Li, T.& Huang. H. Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems. Expert Systems with Applications,2009. 36 (4):8302-8312
[182]Liang, S.& Kusalik, P. G. Crystal growth simulations of H2s hydrate. Journal of Physical Chemistry B,2010,114 (29):9563-9571
[183]Lin, L., Yuan, X.& Xia, Z. Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets. Journal of Computer and System Sciences,2007,73 (1):84-88
[184]Lin, Y., Cheng, H.& Tseng. M. et al. Using QFD and ANP to analyze the environmental production requirements in linguistic preferences. Expert Systems with Applications,2010,37 (3):2186-2196
[185]Liu, H. Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Applied Mathematical Modelling,2011,35 (1):482-496
[186]Liu, H. The extension of fuzzy QFD:From product planning to part deployment. Expert Systems with Applications,2009,36 (8):11131-11144
[187]Liu, H.& Wang, C. An advanced quality function deployment model using fuzzy analytic network process. Applied Mathematical Modelling,2010,34 (11): 3333-3351
[188]Liu, H.& Wang, G. Multi-criteria decision-making methods based on intuitionistic fuzzy sets. European Journal of Operational Research,2007,179(1): 220-233
[189]Liu, J.& Wu, C. An integrated method for supplier selection in SCM. Chongqing, China,2005:617-620
[190]Liu, S.& Shyu, J. Strategic planning for technology development with patent analysis. International Journal of Technology Management,1997,13 (5-6) 661-680
[191]Lo, C., Tseng, K. C.& Chu, C. One-Step QFD based 3D morphological charts for concept generation of product variant design. Expert Systems with Applications,2010,37 (11):7351-7363
[192]Locascio, A.& Thurston, D. L. Transforming the House of Quality to a multiobjective optimization formulation. Structural and Multidisciplinary Optimization,1998,16 (2):136-146
[193]Lofgren, M.& Witell, L. Two Decades of Using Kano's Theory of Attractive Quality:A Literature Review. The Quality Management Journal,2008,15(1) 59-66
[194]Lootsma, F. A. Saaty's priority theory and the nomination of a senior professor in operations Research. European Journal of Operational Research,1980,4(6) 380-388
[195]Lowe, A., Ridgway, K.& Atkinson, H. QFD in new production technology evaluation. International Journal of Production Economics,2000,67(2):103-112
[196]Luck, R.& McDonnell, J. Architect and user interaction:The spoken representation of form and functional meaning in early design conversations. Design Studies,2006,27 (2):141-166
[197]Luo, B.& Tang, X. Visualized clustering of ideas for group argumentation. Toronto, ON, Canada:IEEE Computer Society,2010:136-141
[198]Maiden, N. A. M.& Rugg, G. ACRE:selecting methods for requirements acquisition. Software Engineering Journal,1996,11 (3):183-192
[199]Marsot, J. QFD:a methodological tool for integration of ergonomics at the design stage. Applied Ergonomics,2005,36 (2):185-192
[200]Mesiar, R. Fuzzy set approach to the utility, preference relations, and aggregation operators. European Journal of Operational Research,2007,176 (1): 414-422
[201]Min, D.& Kim, K. An extended QFD planning model for selecting design requirements with longitudinal effect consideration. Expert Systems with Applications,2008,35 (4):1546-1554
[202]Mitri, M. Task-specific problem-solving architecture for candidate evaluation. AI Magazine,1991,12 (3):95-109
[203]Mizuno, S.& Akao, Y. The Customer-Driven Approach to Quality Planning and Deployment. Tokyo,Japan:Asian Productivity Organization,1994:1-87
[204]Moens, J., Seidel, R.& Geerlings, P. et al. Energy levels and redox properties of aqueous Mn2+/3+from photoemission spectroscopy and density functional molecular dynamics simulation. Journal of Physical Chemistry B,2010,114(28): 9173-9182
[205]Monostori, L.& Barschdorff, D. Artificial neural networks in intelligent manufacturing. Robotics and computer-integrated manufacturing,1992,9(6) 421-437
[206]Moran, J. J. Customer integration:The Quality Function Deployment (QFD) leader's guide for decision-making:by Doug Daetz, Bill Barnard, and Rick Norman. New York:John Wiley & Sons, Inc.,1995.300 pages.$45.00.. Journal of Product Innovation Management, 1997,14 (2):148-149
[207]Moran, J. J. Quality function deployment:How to make QFD work for you:by Lou Cohen. Reading, MA:Addison-Wesley,1995,348 pages.$39.76. Journal of Product Innovation Management, 1996,13 (2):183-184
[208]Moskowitz, H. K. J. K. QFD optimer:a novice friendly quality function deployment decision support system for optimizing product designs. Computers & Industrial Engineering,1997,32 (3):641-655
[209]Moxnes, E. Estimating customer utility of energy efficiency standards for refrigerators. Journal of Economic Psychology,2004,25 (6):707-724
[210]Mustafa, M. A.& Al-Bahar, J. F. Project risk assessment using the analytic hierarchy process. Engineering Management, IEEE Transactions on,1991,38(1): 46-52
[211]Myung, R. Conjoint analysis as a new methodology for Korean typography guideline in Web environment. International Journal of Industrial Ergonomics, 2003,32 (5):341-348
[212]Nagel, R. L., Hutcheson, R.& McAdams, D. A. et al. Process and event modelling for conceptual design. Journal of Engineering Design,2011,22 (3) 145-164
[213]Nambisan, S. R. A. B. Virtual Customer Environments:Testing a Model of Voluntary Participation in Value Co-creation Activities. Journal of Product Innovation Management,2009,26 (4):388-406
[214]Nambisan, S. Information Systems as a Reference Discipline for New Product Development. MIS Quarterly,2003,27 (1):1-18
[215]Nanda, S.& Majumdar, S. Fuzzy rough sets. Fuzzy Sets and Systems,1992,45 (2):157-160
[216]Nepal, B., Yadav, O. P.& Murat, A. A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development. Expert Systems with Applications,2010,37 (10):6775-6786
[217]Nilsson-Witell L., A. F. Dynamics of service attributes:a test of Kano's theory of attractive quality. International Journal of Service Industry Management,2005, 16 (2):152-168
[218]Ohsuga, S. Toward intelligent CAD systems. Computer-Aided Design,1989,21 (5):315-337
[219]Osborn, A. F. Applied Imagination, Principles and Procedures of Creative Thinking. New York:Scribner,1953
[220]Ozok, A. A., Fan, Q.& Norcio, A. F. Design guidelines for effective recommender system interfaces based on a usability criteria conceptual model: Results from a college student population. Behaviour and Information Technology,2010,29 (1):57-83
[221]Pahl, G.& Beitz, W. Engineering design-a systematic approach. London: Springer-Verlag,1996
[222]Pahl, G.& Beitz, W. Engineering design:a systematic approach. London: Springer,1988
[223]Park, D. G., Kwun, Y. C.& Park, J. H. et al. Correlation coefficient of interval-valued intuitionistic fuzzy sets and its application to multiple attribute group decision making problems. Mathematical and Computer Modelling,2009, 50 (9-10):1279-1293
[224]Park, R. E.& Paul, A. J. Large business customer response to time-of-day electricity rates. Journal of Econometrics,2007.26 (1-2):229-252
[225]Partovi, F. Y. An analytical model of process choice in the chemical industry. International Journal of Production Economics,2007,105 (1):213-227
[226]Pawlak, Z., Grzymala Busse, J.& Slowinski, R. Rough sets.38,1995,11 (88-95)
[227]Pawlak, Z. Rough classification. International Journal of Human-Computer Studies,1999,51 (2):369-383
[228]Pawlak, Z. Rough sets and fuzzy sets. Fuzzy Sets and Systems,1985,17(1) 99-102
[229]Pawlak, Z. Rough classification. International Journal of Man-Machine Studies, 1984,20 (5):469-483
[230]Pawlak, Z.& Skowron, A. Rough sets:Some extensions. Information Sciences, 2007,177 (1):28-40
[231]Pawlak, Z.& Skowron, A. Rudiments of rough sets. Information Sciences,2007, 177 (1):3-27
[232]Pawlak. Z., Slowinski, K.& Slowinski, R. Rough classification of patients after highly selective vagotomy for duodenal ulcer. International Journal of Man-Machine Studies,1986,24 (5):413-433
[233]Phal, G.& Beitz, W. Engineering design. London. UK:The Design Council, 1984:1-89
[234]Prasad, B. Review of QFD and related deployment techniques. Journal of Manufacturing Systems,1998,17 (3):221-234
[235]Qiu, S. L., Fok. S. C.& Chen. C. H. et al. Conceptual Design Using Evolution Strategy. The International Journal of Advanced Manufacturing Technology, 2002,20 (9):683-691
[236]Ribeiro Da Silva, M. A. V., Monte, M. J. S.& Lobo Ferreira, A. I. M. C. et al. A combined experimental and computational thermodynamic study of difluoronitrobenzene isomers. Journal of Physical Chemistry B,2010,114 (40): 12914-12925
[237]Rio, J. G. D., Hayes, D. G.& Urban, V. S. Partitioning behavior of an acid-cleavable,1.3-dioxolane alkyl ethoxylate. surfactant in single and binary surfactant mixtures for 2-and 3-phase microemulsion systems according to ethoxylate head group size. Journal of Colloid and Interface Science,2010,352 (2):424-435
[238]Robles, G. C., Rodriguez, A. M.& Negny, S. et al. The TRIZ-CBR synergy:A knowledge based innovation process. International Journal of Manufacturing Technology and Management,2011,22 (3):233-246
[239]Rozycki, B., Lipowsky, R.& Weikl, T. R. Segregation of receptor-ligand complexes in cell adhesion zones:Phase diagrams and the role of thermal membrane roughness. New Journal of Physics,2010,12
[240]Rugg, G.& McGeorge, P. The sorting techniques:a tutorial paper on card sorts, picture sorts and item sorts. Expert Systems. Expert Systems,1997,14 (80-93)
[241]Rugg, G.& McGeorge, P. Laddering. Expert Systems,1995,12:339-346
[242]Rugg, M. D.& Doyle, M. C. Event-Related Potentials and Recognition Memory for Low-and High-Frequency Words. Journal of Cognitive Neuroscience,1992, 4(1):69-79
[243]Saaty, T. L. The analytic hierarchy process:Planning, priority setting and resource allocation. New York:McGraw-Hill,1980:1-203
[244]Saaty, T. L. A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology,1977,15:234-281
[245]Salah, F.& Abdalla, H. A knowledge-based system for enhancing conceptual design. International Journal of Computer Applications in Technology,2011,40 (1-2 SPEC.ISSUE):23-36
[246]Salhieh, S. M. A methodology to redesign heterogeneous product portfolios as homogeneous product families. Computer-Aided Design,2007,39 (12) 1065-1074
[247]Santos-Reyes, D. E.& Lawlor-Wright, T. Understanding design in nature can benefit product conceptual design. International Journal of Design and Nature and Ecodynamics,2009,4(2):105-122
[248]Saroja, S., Dasgupta, A.& Divakar, R. et al. Development and characterization of advanced 9Cr ferritic/martensitic steels for fission and fusion reactors. Journal ofNuclear Materials,2011,409 (2):131-139
[249]Sawhney, M., Verona, G.& Prandelli, E. Collaborating to create:The Internet as a platform for customer engagement in product innovation. Journal of Interactive Marketing,2005,19 (4):4-17
[250]Schneider, G. J.& Goritz, D. Strain induced anisotropies in silica polydimethylsiloxane composites. Journal of Chemical Physics,2010,133 (2)
[251]Schockaert, S., De Cock, M.& Cornelis. C. et al. Fuzzy region connection calculus:An interpretation based on closeness. International Journal of Approximate Reasoning,2008,48 (1):332-347
[252]Schonberger, R. J. Japanese production management:An evolution--With mixed success. Journal of Operations Management,2007,25 (2):403-419
[253]Shalahim, N. S. M. Adopting Lean Principles:A case study. Kowloon, Hong kong:Newswood Ltd.,2010:1764-1769
[254]Shao, X., Chu, X.& Qiu, H. et al. An expert system using rough sets theory for aided conceptual design of ship's engine room automation. Expert Systems with Applications,2009,36 (2, Part 2):3223-3233
[255]Shao, X., Li, X.& Gao, L. et al. Integration of process planning and scheduling--A modified genetic algorithm-based approach. Computers & Operations Research,2009,36 (6):2082-2096
[256]Sharma, B. RUL assessment of lube oil using AHP and vector projection approach. Industrial Lubrication and Tribology,2006,58 (4):187-189
[257]Shieh, M., Yan. W.& Chen, C. Soliciting customer requirements for product redesign based on picture sorts and ART2 neural network. Expert Systems with Applications,2008,34 (1):194-204
[258]Shin, J., Jun, H.& Kiritsis. D. et al. A decision support method for product conceptual design considering product lifecycle factors and resource constraints. International Journal of Advanced Manufacturing Technology,2011,52 (9-12): 865-886
[259]Simpson Jr., B. K.& Schaefer, D. Systematic design method for large-scale manufacturing of fabricated polymers. San Diego, CA. United states:American Society of Mechanical Engineers,2010:541-552
[260]Singh, D.& Gu, P. Product life-cycle serviceability analysis for supporting engineering design. Ⅱ. serviceability analysis for product redesign.. Eng Design and Automation,1997,3(3):275-297
[261]Singh, N. Systems approach to computer-integrated design and manufacturing. New York:John Wiley & Sons,1995
[262]Sohn, S. Y.& Choi. I. S. Fuzzy QFD for supply chain management with reliability consideration. Reliability Engineering & System Safety,2001,72 (3): 327-334
[263]Sridharan, P.& Campbell, M. I. A study on the grammatical construction of function structures. Artificial Intelligence for Engineering Design, Analysis and Manufacturing:AIEDAM,2005,19 (3):139-160
[264]Srinivasan. R.& Kraslawski, A. Application of the TRIZ creativity enhancement approach to design of inherently safer chemical processes. Chemical Engineering and Processing,2006,45 (6):507-514
[265]Suh, N. P. The principles of design. Oxford, UK:Oxford University Press,1990
[266]Sullivan, L. P. Quality function deployment. Quality Progress,1986,19 (6) 39-50
[267]Sun, J., Kalenchuk, D. K.& Xue, D. et al. Design candidate identification using neural network-based fuzzy reasoning. Robotics and Computer-Integrated Manufacturing,2000,16 (5):383-396
[268]Sun, Y.& Liu, X. F. Business-oriented software process improvement based on CMMI using QFD. Information and Software Technology,2010,52 (1):79-91
[269]Szmidt, E.& Kacprzyk, J. Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems,2001,118 (3):467-477
[270]Taguchi, G. Introduction to quality engineering:designing quality into products and processes. Tokyo:Asian Productivity Organization,1986
[271]Takai, S.& Ishii, K. A use of subjective clustering to support affinity diagram results in customer needs analysis. Concurrent Engineering Research and Applications,2010,18 (2):101-109
[272]Tan, C. M.& Neo, T. QFD implementation in a discrete semiconductor industry. Anaheim, LA.,2002:484-489
[273]Tan, C.& Chen, X. Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Expert Systems with Applications,2010,37 (1): 149-157
[274]Tan, K. C.& Shen, X. X. Integrating Kano's model in the planning matrix of quality function deployment. Total Quality Management,2000,11 (8) 1141-1151
[275]Tan, K. C., Xie, M.& Shen, X. X. Development of innovative products using Kano's model quality function deployment. International Journal of Innovation Management, 1999,3(3):271-286
[276]Terninko, J. The QFD, TRIZ and Taguchi connection:customer-driven robust innovation.1998
[277]Tsai, H.& Hsiao, S. Evaluation of alternatives for product customization using fuzzy logic. Information Sciences,2004,158:233-262
[278]Tseng, M. M., Jiao, J.& Merchant, M. E. Design for mass customization. CIRP Annals-Manufacturing Technology,1996,45 (1):153-156
[279]Usma-Alvarez, C. C., Subic, A.& Burton, M. et al. Identification of design requirements for rugby wheelchairs using the QFD method. Procedia Engineering, 2010,2 (2):2749-2755
[280]Utne, I. B. Improving the environmental performance of the fishing fleet by use of Quality Function Deployment (QFD). Journal of Cleaner Production,2009,17 (8):724-731
[281]Vashitz, G., Nunnally, M. E.& Bitan, Y. et al. Making sense of diseases in medication reconciliation,2010:1-8
[282]Venugopal, V.& Narendran. T. T. Neural network model for design retrieval in manufacturing systems. Computers in Industry,1992,20 (1):11-23
[283]Verhaegen, P. A., D'Hondt, J.& Vertommen, J. et al. Relating properties and functions from patents to TRIZ trends. CIRP Journal of Manufacturing Science and Technology,2009,1(3):126-130
[284]Verona G., E. P. M. S. Innovation and Virtual Environments:Towards Virtual Knowledge Brokers. Organization Studies,2006,27 (6):765-788
[285]Vlachos, I. K.& Sergiadis, G. D. Intuitionistic fuzzy information-Applications to pattern recognition. Pattern Recognition Letters,2007,28 (2):197-206
[286]von Hippel, E. Lead users:A source of novel product concept. Management Science,1986,32 (7):791-805
[287]Von Hippel, E. Shifting innovation to users via toolkits. Management Science, 2002,48 (7):821-833
[288]Von Hippel, E. Lead Users:A Source of Novel Product Concepts. Management Science,1986,32 (7):791-805
[289]Wang, J. Fuzzy outranking approach to prioritize design requirements in quality function deployment. International Journal of Production Research,1999,37 (4): 889-916
[290]Wang, J. R. Improved engineering design concept selection using fuzzy sets. International Journal of Computer Integrated Manufacturing,2002,15(1):18-27
[291]Wang, J. R. Ranking engineering design concepts using a fuzzy outranking preference model. Fuzzy Sets and Systems,2001,119(1):161-170
[292]Webb, A. TRIZ:An inventive approach to invention. Manufacturing Engineer. 2002,81 (4):171-177
[293]Wei, G. W. Some geometric aggregation functions and their application to Dynamic multiple attribute decision making in intuitionistic fuzzy setting. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems. 2009,17 (2):179-196
[294]Wei, G. W. GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting. Knowledge-Based Systems, 2010,23 (3):243-247
[295]Wei, G. W. Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making. Applied Soft Computing,2010,10 (2):423-431
[296]Wei, G. W. Gray relational analysis method for intuitionistic fuzzy multiple attribute decision making. Expert Systems with Applications, In Press, Corrected Proof
[297]Wei, Y.,Cao, J.& Wang, G. On the characterization diagrams of planar cubic hybrid hyperbolic polynomial curve. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,2010,22(5): 833-837
[298]Withanage, C., Park, T.& Choi, H. A concept evaluation method for strategic product design with concurrent consideration of future customer requirements. Concurrent Engineering Research and Applications,2010,18 (4):275-289
[299]Wojanowski, R., Verter, V.& Boyaci, T. Retail-collection network design under deposit-refund. Computers & Operations Research,2007,34 (2):324-345
[300]Wood, I. W. H.& Agogino, A. M. Case-based conceptual design information server for concurrent engineering. CAD Computer Aided Design,1996,28 (5) 361-369
[301]Wygralak, M. Rough sets and fuzzy sets-some remarks on interrelations. Fuzzy Sets and Systems,1989,29 (2):241-243
[302]Xu, M.& Walton, J. Gaining customer knowledge through analytical CRM. Industrial Management and Data Systems,2005,105 (7):955-971
[303]Xu, Z. Intuitionistic preference relations and their application in group decision making. Information Sciences,2007,177 (11):2363-2379
[304]Xu, Z., Chen, J.& Wu, J. Clustering algorithm for intuitionistic fuzzy sets. Information Sciences,2008,178 (19):3775-3790
[305]Xu, Z.& Yager, R. R. Dynamic intuitionistic fuzzy multi-attribute decision making. International Journal of Approximate Reasoning,2008,48 (1):246-262
[306]Xue, D.& Dong, Z. Coding and clustering of design and manufacturing features for concurrent design. Computers in Industry,1997,34 (1):139-153
[307]Yamashina, H., Ito. T.& Kawada, H. Innovative product development process by integrating QFD and TRIZ. International Journal of Production Research, 2002,40 (5):1031-1050
[308]Yan, W., Chen, C. H.& Khoo, L. P. An integrated approach to the elicitation of customer requirements for engineering design using picture sorts and fuzzy evaluation. Artificial Intelligence for Engineering Design, Analysis and Manufacturing:AIEDAM,2002,16 (2):59-71
[309]Yan, W., Pritchard, M. C.& Chen, C. H. et al. A study of bidding-oriented collaborative product conceptualization. International Journal of Computer Integrated Manufacturing,2006,19 (2):161-177
[310]Yan, W., Chen, C.& Khoo, L. P. A Web-enabled product definition and customization system for product conceptualization. Expert Systems,2005,22 (5):241-253
[311]Yan, W., Chen, C.& Khoo, P. L. A Radial Basis Function Neural Network Multicultural Factors Evaluation Engine For Product Concept Development. Expert Systems,2001,18 (5):219-232
[312]Yan, W., Chen, C.& Shieh, M. Product concept generation and selection using sorting technique and fuzzy c-means algorithm. Computers & Industrial Engineering,2006,50 (3):273-285
[313]Yan, W., Khoo, L. P.& Chen, C. A QFD-enabled product conceptualisation approach via design knowledge hierarchy and RCE neural network. Knowledge-Based Systems,2005,18 (6):279-293
[314]Yang, J.& Sen, P. Multiple Attribute Design Evaluation of Complex Engineering Products Using the Evidential Reasoning Approach. Journal of Engineering Design,1997,8(3):211-230
[315]Yang, Y. Q., Wang, S. Q.& Dulaimi, M. et al. A fuzzy quality function deployment system for buildable design decision-makings. Automation in Construction,2003,12 (4):381-393
[316]Yao, L.& Zou, L. A study on conceptual design of mechatronic system. Journal of Donghua University (English Edition),2008,25 (4):434-438
[317]Yaqiong, L., Man, L. K.& Zhang, W. Fuzzy theory applied in quality management of distributed manufacturing system:A literature review and classification. Engineering Applications of Artificial Intelligence,2011,24 (2) 266-277
[318]Ye, J. Fuzzy cross entropy of interval-valued intuitionistic fuzzy sets and its optimal decision-making method based on the weights of alternatives. Expert Systems with Applications,2011,38 (5):6179-6183
[319]Ye, J. Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. European Journal of Operational Research,2010,205 (1):202-204
[320]Ye, J. Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert Systems with Applications,2009,36 (3, Part 2):6899-6902
[321]Yousefie, S., Mohammadi, M.& Monfared, J. H. Selection effective management tools on setting European Foundation for Quality Management (EFQM) model by a quality function deployment (QFD) approach. Expert Systems with Applications,2011,38 (8):9633-9647
[322]Yu, L.& Wang, L. A fuzzy intelligent design retrieving system for customer requirements. International Journal of Computer Applications in Technology, 2008,33 (2-3):247-254
[323]Zadeh, L. A. Fuzzy sets. Information and Control,1965,8(3):338-353
[324]Zarei, M., Fakhrzad, M. B.& Jamali Paghaleh, M. Food supply chain leanness using a developed QFD model. Journal of Food Engineering,2011,102 (1) 25-33
[325]Zhai, L. Y., Khoo, L. P.& Zhong, Z. W. Towards a QFD-based expert system:A novel extension to fuzzy QFD methodology using rough set theory. Expert Systems with Applications,2010,37 (12):8888-8896
[326]Zhai, L., Khoo, L.& Zhong, Z. A rough set based QFD approach to the management of imprecise design information in product development. Advanced Engineering Informatics,2009,23 (2):222-228
[327]Zhai, L., Khoo, L.& Zhong, Z. Design concept evaluation in product development using rough sets and grey relation analysis. Expert Systems with Applications,2009,36 (3, Part 2):7072-7079
[328]Zhan, J.,Loh, H. T.& Liu, Y. Gather customer concerns from online product reviews-A text summarization approach. Expert Systems with Applications, 2009,36 (2, Part I):2107-2115
[329]Zhang, H. C., Kuo, T. C.& Lu, H. et al. Environmentally conscious design and manufacturing:A state-of-the-art survey. Journal of Manufacturing Systems. 1997,16 (5):352-371
[330]Zhang, Z.& Chu, X. A new approach for conceptual design of product and maintenance. International Journal of Computer Integrated Manufacturing,2010. 23 (7):603-618
[331]Zhou, L., Wu, W.& Zhang, W. On characterization of intuitionistic fuzzy rough sets based on intuitionistic fuzzy implicators. Information Sciences,2009,179(7): 883-898
[332]Zhou, M. Fuzzy logic and optimization models for implementing QFD. Computers & Industrial Engineering,1998,35 (1-2):237-240
[333]Ziv-Av, A.& Reich, Y. SOS-subjective objective system for generating optimal product concepts. Design Studies,2005,26 (5):509-533
[334]程晓冬和李建勇.基于粗糙集的柔性制造系统概念设计实例检索技术.计算机集成制造系统,2005(06)：768-771
[335]戴庆辉和郭彩玲.计算机辅助产品创新集成工具的框架.机械设计,2003(05)
[336]邓家禔.产品设计的基本理论与技术.中国机械工程,2000,11(1-2)139-143
[337]邓家提,韩晓建和曾硝.产品概念设计——理论、方法与技术.北京：机械工业出版社,2002
[338]管虹翔.基于相关QFD与TRIZ的概念设计方法研究与软件开发,硕士学位论文,西南石油大学,2006
[339]桂晓凤.直觉模糊信息集成理论及应用.武汉：湖北人民出版社,2009：548-649
[340]侯智和陈世平.基于Kano模型的用户需求重要度调整方法研究.计算机集成制造系统,2005(12)：1785-1789
[341]侯智,张根保和余德忠等.基于QFD、TRIZ和稳健设计的设计方法体系结构研究.机械设计与研究,2003(03)
[342]华中生和汪炜.基于QFD与TRIZ技术工具的产品概念设计方法.计算机集成制造系统,2004(12)：1588-1593
[343]纪国华,李彦和胡艳等.集成QFD、TRIZ、CAPP与DOE的产品创新设计模型.机械设计与制造,2010(10)：62-64
[344]雷英杰,王宝树和路艳丽.基于直觉模糊逻辑的近似推理方法.控制与决策,2006(03)：305-310
[345]雷英杰,王宝树和苗启广.直觉模糊关系及其合成运算.系统工程理论与实践,2005(02)：113-118
[346]李剑,范小军和黄沛.基于粗糙集的知识理论及其应用.系统工程理论方法应用,2001(03)：184-188
[347]李凯,赵克和胡钢伟.基于粗糙集的数据挖掘技术在机械传动设计中的应用研究.机械科学与技术,2005(02)：223-225
[348]李延来,唐加福和姚建明.质量屋构建的研究进展.机械工程学报,2009,45(2)： 280-293
[349]林琳.直觉模糊集在近似推理与决策中的应用,博士学位论文,大连理工大学,2006
[350]刘鸿恩和张列平.质量功能展开(QFD)理论与方法研究进展综述.系统工程,2000(02)：1-6
[351]刘克,单志广和王戟等.“可信软件基础研究”重大研究计划综述.中国科学基金,2008(03)：145-151
[352]马怀宇和孟明辰.基于TRIZ/QFD/FA的产品概念设计过程模型.清华大学学报(自然科学版),2001(11)：56-59
[353]牟健慧,李少波和韩涛等.TRIZ理论对QFD中问题的改进.机械设计,2010(03)：84-88
[354]年丰和王伟.基于QFD/TRIZ/CAD技术融合的微波黑体定标源优化设计. 宇航计测技术,2008(05)：6-10
[355]聂大安,李彦和麻广林等.基于SWOT/TRIZ/QFD的产品开发策略形成过程研究.机械设计,2009(11)：1-5
[356]彭云,聂承启和万红新等.粗糙集在决策系统中的应用.江西师范大学学报(自然科学版),2002(03)：229-231
[357]邵家骏.质量功能展开.北京：中国机械工业出版社,2004
[358]施丽娟.直觉模糊多属性决策问题的决策方法研究,硕士学位论文,西南交通大学,2010
[359]石贵龙和佘元冠.基于QFD、TRIZ和田口方法的问题解决理论研究.系统工程与电子技术,2008(05)：851-857
[360]檀润华.发明问题解决理论.北京：科学出版社,2004：1-159
[361]檀润华,马建红和张换高等.基于QFD及TRIZ的概念设计过程研究.机械设计,2002(09)：1-4
[362]檀润华,王庆禹和苑彩云等.发明问题解决理论TRIZ——TRIZ过程、工具及发展趋势.机械设计,2001(07)：7-12
[363]檀润华,张瑞红和江屏等.产品设计中的冲突确定方法及解决过程.机械设计,2003(10)
[364]万红新,彭云和聂承启.基于模糊集和粗糙集的关联规则挖掘策略.江西师范大学学报(自然科学版),2005(01)：23-25
[365]汪新凡.模糊数直觉模糊几何集成算子及其在决策中的应用.控制与决策,2008(06)：607-612
[366]王坚强.模糊多准则决策方法研究综述.控制与决策,2008(06)：601-606
[367]王坚强.几类信息不完全确定的多准则决策方法研究,博士学位论文,中南大学,2005
[368]王开荣和杨红.基于直觉模糊集的多属性决策方法.模糊系统与数学,2010(03)：114-118
[369]王晓暾.不确定信息环境下的质量功能展开方法研究,博士学位论文,浙江大学,2010
[370]王晓暾和熊伟.基于QFD和TRIZ的可信软件技术冲突解决方法.航空学报,2011(01)：128-136
[371]王宗军和储茂广.模糊粗糙集中综合评价的属性约简和规则获取.管理学报,2009(04)：444-446
[372]卫贵武.几类模糊多属性决策方法研究,博士学位论文,西南交通大学,2009
[373]谢友柏.产品的性能特征与现代设计.中国机械工程,2000(Z1)
[374]熊伟.质量功能展开：从理论到实践.北京：科学出版社,2009：1-224
[375]熊伟.质量机能展开.北京：化学工业出版社,2005：1-267
[376]熊伟和王晓暾.基于质量功能展开的可信软件需求映射方法.浙江大学学报(工学版),2010(05)：881-886
[377]徐泽水.区间直觉模糊信息的集成方法及其在决策中的应用.控制与决策,2007(02)：215-219
[378]徐泽水.直觉模糊偏好信息下的多属性决策途径.系统工程理论与实践,2007(11)：62-71
[379]徐泽水和陈剑.一种基于区间直觉判断矩阵的群决策方法.系统工程理论与实践,2007(04)：126-133
[380]余伟伟,帅茨平和周惠兰.QFD和TRIZ集成在儿童玩具车概念设计中的应用.包装工程,2007(07)：158-160
[381]张彦军.基于QFD与TRIZ的机械产品概念设计研究,硕士学位论文,西安电子科技大学,2004
[382]邹慧君,汪利和王石刚等.机械产品概念设计及其方法综述.机械设计与研究,1998(02)：4-8
[2]Akao, Y. Standardization and Quality Control. New product development and quality assurance—quality deployment system,1972,25 (4):7-14
[3]Akao, Y.& Mazur, G. H. The leading edge in QFD:past, present and future. International Journal of Quality and Reliability Management,2003,20 (1):20-35
[4]Akay, D., Demiray, A.& Kurt, M. Collaborative tool for solving human factors problems in the manufacturing environment:The Theory of Inventive Problem Solving Technique (TRIZ) method. International Journal of Production Research, 2008,46 (11):2913-2925
[5]Alba, J. W. Knowledge Calibration:What Consumers Know and What They Think They Know. Journal of Consumer.2000.27 (9):123-156
[6]Almannai, B., Greenough, R.& Kay, J. A decision support tool based on QFD and FMEA for the selection of manufacturing automation technologies. Robotics and Computer-Integrated Manufacturing,2008,24 (4):501-507
[7]Altshuller, G. S. Creativity as an Exact Science:The Theory of Inventive Problem Solving. New York:Gordon and Breach,1988
[8]Andersen, M.& Khler, S. Design for Assembly. Bedford. UK:IFS Publications, 1983
[9]Angelov, P. P. Optimization in an intuitionistic fuzzy environment. Fuzzy Sets and Systems,1997,86 (3):299-306
[10]Armacost, R. L., P., C.& A., M. M. et al. An AHP framework for prioritizing customer requirements in QFD:an industrialized housing application. HE Transactions,1994,26 (4):72-79
[11]Artes, J. C., Llibre, J.& Schlomiuk, D. The geometry of quadratic polynomial differential systems with a weak focus and an invariant straight line. International Journal of Bifurcation and Chaos,2010,20 (11):3627-3662
[12]Atanassov, K. T. Intuitionistic fuzzy sets. Fuzzy Sets and Systems,1986,20 (1): 87-96
[13]Atanassov, K.& Gargov, G. Interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems,1989,31 (3):343-349
[14]Atanassov, K. T. Remarks on the intuitionistic fuzzy sets--Ⅲ. Fuzzy Sets and Systems,1995,75 (3):401-402
[15]Atanassov, K. T. New operations defined over the intuitionistic fuzzy sets. Fuzzy Sets and Systems,1994,61 (2):137-142
[16]Atanassov, K. T. Operators over interval valued intuitionistic fuzzy sets. Fuzzy Sets and Systems,1994,64 (2):159-174
[17]Atanassov, K. T. Remarks on the intuitionistic fuzzy sets. Fuzzy Sets and Systems, 1992,51 (1):117-118
[18]Atanassov, K. T. More on intuitionistic fuzzy sets. Fuzzy Sets and Systems,1989, 33 (1):37-45
[19]Atanassov, K. T. Research on intuitionistic fuzzy sets in Bulgaria. Fuzzy Sets and Systems,1987,22 (1-2):193
[20]Atanassov, K. T. Intuitionistic fuzzy sets. Fuzzy Sets and Systems,1986,20 (1): 87-96
[21]Aungst, S., Barton, R.& Wilson. D. The Virtual Integrated Design Method: Instiyute for Study of Business Markets, the Pennsylvania State University,2001
[22]Bahrami, A., Lynch, M.& Dagli, C. Intelligent design retrieval and packing system:application of neural networks in design and manufacturing. Int J Production Res.1995.33 (2):405-426
[23]Ban, A. I.& Gal, S. G. Decomposable measures and information measures for intuitionistic fuzzy sets. Fuzzy Sets and Systems,2001,123 (1):103-117
[24]Bandlow, J., Schilling. A.& Thiery, N. M. On the uniqueness of promotion operators on tensor products of type A crystals. Journal of Algebraic Combinatorics.2010,31 (2):217-251
[25]Barbarosoglu. D.& Pihas. H. Capital rating in the public sector using the analytic hierarchy process. The Engineering Economist,1995,40 (4):315-329
[26]Bariani. P. F., Berti, G. A.& Lucchetta, G. A combined DFMA and TRIZ approach to the simplification of product structure:Professional Engineering Publishing Ltd.,2004:1023-1027
[27]Barreto, S., Ferreira, C.& Paix, J. et al. Using clustering analysis in a capacitated location-routing problem. European Journal of Operational Research,2007,179 (3):968-977
[28]Belecheanu, R., Pawar, K. S.& Barson, R. J. et al. The application of case based reasoning to decision support in new product development. Integrated Manufacturing Systems,2003,14(1):36-45
[29]Beliakov, G., Bustince, H.& Goswami, D. P. et al. On averaging operators for Atanassov's intuitionistic fuzzy sets. Information Sciences,2011,181 (6) 1116-1124
[30]Benner, M., Linnemann, A. R.& Jongen. W. M. F. et al. Quality Function Deployment (QFD)--can it be used to develop food products?. Food Quality and Preference,2003,14 (4):327-339
[31]Bergeron, T. K.,Dubois, Y. M.& Dumont, H. G. et al. Intensive Care Delirium Screening Checklist:evaluation of a new screening tool. Intensive Care Medicine, 2001,27 (5):859-864
[32]Bergquist, K.& Abeysekera, J. Quality function deployment (QFD)--A means for developing usable products. International Journal of Industrial Ergonomics, 1996,18 (4):269-275
[33]Bevilacqua, M., Ciarapica, F. E.& Giacchetta, G. A fuzzy-QFD approach to supplier selection. Journal of Purchasing and Supply Management,2006,12(1): 14-27
[34]Bhattacharya, A., Geraghty. J.& Young, P. Supplier selection paradigm:An integrated hierarchical QFD methodology under multiple-criteria environment. Applied Soft Computing,2010,10 (4):1013-1027
[35]Bitner, M. J. S. W. Technology Infusion in Service Encounters. Journal of the Academy of Marketing Science,2000,28 (1):138-149
[36]Bitran, G. R., Ferrer, J.& E Oliveira, P. R. Managing customer experiences: Perspectives on the temporal aspects of service encounters. Manufacturing and Service Operations Management,2008,10 (1):61-83
[37]Bodi, A., Stevens, W. R.& Baer, T. Understanding the complex dissociation dynamics of energy selected dichloroethylene ions:Neutral isomerization energies and heats of formation by imaging photoelectron-photoion coincidence. Journal of Physical Chemistry A,2011,115 (5):726-734
[38]Boothroyd, G., Dewhurst, P.& Knight, W. Product design for manufacture and assembly. New York:Marcel Dekker,1994
[39]Boothroyd, G. Product design for manufacture and assembly. Computer-Aided Design,1994,26 (7):505-520
[40]Boran, F. E., Gen, S.& Kurt, M. et al. A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications,2009,36 (8):11363-11368
[41]Bottani, E. A fuzzy QFD approach to achieve agility. International Journal of Production Economics,2009,119 (2):380-391
[42]Bottani, E.& Rizzi, A. Strategic management of logistics service:A fuzzy QFD approach. International Journal of Production Economics,2006,103(2):585-599
[43]Bouchereau, V.& Rowlands, H. Methods and techniques to help quality function deployment (QFD). Benchmarking:An International Journal,2000,7(1):8-20
[44]Boutin, A., Couck, S.& Coudert, F. et al. Thermodynamic analysis of the breathing of amino-functionalized MIL-53(Al) upon CO2 adsorption. Microporous and Mesoporous Materials,2011,140 (1-3):108-113
[45]Brackin, P.& Colton, J. S. Using genetic algorithms to set target values for engineering characteristics in the house of quality. Journal of Computing and Information Science in Engineering (Transactions of the ASME).,2002,2(2) 106-114
[46]Bralla, J. G.& James. G. Handbook of product design for manufacturing:a practical guide to low-cost production. New York:McGraw-Hill,1986
[47]Bustince, H.& Burillo, P. Vague sets are intuitionistic fuzzy sets. Fuzzy Sets and Systems,1996,74:237-244
[48]Bustince, H.& Burillo, P. Correlation of interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems,1995,74 (2):237-244
[49]Bustince, H., Kacprzyk, J.& Mohedano, V. Intuitionistic fuzzy generators Application to intuitionistic fuzzy complementation. Fuzzy Sets and Systems, 2000,114 (3):485-504
[50]Buyukozkan, G., Ertay, T.& Kahraman, C. et al. Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach. International Journal of Intelligent Systems,2004,19 (5):443-461
[51]Cao, D. X., Zhu, N. H.& Cui, C. X. et al. An agent-based framework for guiding conceptual design of mechanical products.4 Park Square, Milton Park, Abingdon, Oxfordshire, OX14 4RN, United Kingdom:Taylor and Francis Ltd.,2008: 2381-2396
[52]Cariaga, I., El-Diraby, T.& Osman, H. Integrating value analysis and quality function deployment for evaluating design alternatives. Journal of Construction Engineering and Management,2007,133 (10):761-770
[53]Carnevalli, J. A., Miguel, P. A. C.& Calarge, F. A. Axiomatic design application for minimising the difficulties of QFD usage. International Journal of Production Economics,2010,125 (1):1-12
[54]Carnevalli, J. A.& Miguel, P. C. Review, analysis and classification of the literature on QFD--Types of research, difficulties and benefits. International Journal of Production Economics,2008,114 (2):737-754
[55]Celik, M., Cebi, S.& Kahraman, C. et al. An integrated fuzzy QFD model proposal on routing of shipping investment decisions in crude oil tanker market. Expert Systems with Applications,2009,36 (3, Part 2):6227-6235
[56]Chaira, T. A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images. Applied Soft Computing,2011,11(2):1711-1717
[57]Chakraborty, S.& Dey, S. QFD-based expert system for non-traditional machining processes selection. Expert Systems with Applications,2007,32 (4) 1208-1217
[58]Chan, C. Y. P., Taylor, G.& Ip, W. C. Applying QFD to develop a training course for clothing merchandisers. TQM Journal,2009,21 (1):34-45
[59]Chan, L.& Wu. M. Quality function deployment:A literature review. European Journal of Operational Research,2002,143 (3):463-497
[60]Chang, C. A.& Tsai. C. Y. Using ART1 neural networks with destructive solid geometry for design retrieving systems. Computers in Industry,1997,34 (1) 27-41
[61]Chen, C. H., Khoo, L. P.& Yan, W. Web-enabled customer-oriented product concept formation via laddering technique and Kohonen association. Concurrent Engineering:Research and Applications,2002,10 (4):299-310
[62]Chen, C., Khoo, L. P.& Yan, W. PDCS--a product definition and customisation system for product concept development. Expert Systems with Applications, 2005,28 (3):591-602
[63]Chen, C., Khoo. L. P.& Yan, W. A strategy for acquiring customer requirement patterns using laddering technique and ART2 neural network. Advanced Engineering Informatics,2002,16 (3):229-240
[64]Chen, C.& Yan, W. An in-process customer utility prediction system for product conceptualisation. Expert Systems with Applications,2008,34 (4):2555-2567
[65]Chen, L.& Ko, W. Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept. European Journal of Operational Research,2010,201 (2):619-632
[66]Chen, L.& Ko, W. Fuzzy linear programming models for new product design using QFD with FMEA. Applied Mathematical Modelling,2009,33(2):633-647
[67]Chen, L.& Ko, W. A fuzzy nonlinear model for quality function deployment considering Kano's concept. Mathematical and Computer Modelling,2008,48 (3-4):581-593
[68]Chen, L.& Weng, M. An evaluation approach to engineering design in QFD processes using fuzzy goal programming models. European Journal of Operational Research,2006,172 (1):230-248
[69]Chen, L.& Weng. M. A fuzzy model for exploiting quality function deployment. Mathematical and Computer Modelling.2003,38 (5-6):559-570
[70]Chen, S. L., Jiao. R. J.& Tseng, M. M. Evolutionary product line design balancing customer needs and product commonality. CIRP Annals Manufacturing Technology,2009,58 (1):123-126
[71]Chen, S. M.& Tan, J. M. Handling multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets and Systems,1994,67 (2):163-172
[72]Chen, T. Bivariate models of optimism and pessimism in multi-criteria decision-making based on intuitionistic fuzzy sets. Information Sciences.2011, 181 (11):2139-2165
[73]Chen, T. An outcome-oriented approach to multicriteria decision analysis with intuitionistic fuzzy optimistic/pessimistic operators. Expert Systems with Applications,2010,37 (12):7762-7774
[74]Chen, T.& Li, C. Determining objective weights with intuitionistic fuzzy entropy measures:A comparative analysis. Information Sciences,2010,180 (21) 4207-4222
[75]Chen, T., Wang, H.& Lu, Y. A multicriteria group decision-making approach based on interval-valued intuitionistic fuzzy sets:A comparative perspective. Expert Systems with Applications,2011,38 (6):7647-7658
[76]Chen, Y., Fung, R. Y. K.& Tang, J. Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator. European Journal of Operational Research,2006,174 (3):1553-1566
[77]Cheng, Y.& Leu, S. Integrating data mining with KJ method to classify bridge construction defects. Expert Systems with Applications,2011,38 (6):7143-7150
[78]Cho, H. Development of high strength and high conductivity Cu-Ag-Zr alloy. Cairns, QLD, Australia:Trans Tech Publications Ltd,2010:1323-1326
[79]Chou, Y. Applying neural networks in quality function deployment process for conceptual design. Journal of the Chinese Institute of Industrial Engineers,2004, 21 (6):587-596
[80]Cimren, E., Catay, B.& Budak, E. Development of a machine tool selection system using AHP. The International Journal of Advanced Manufacturing Technology,2007,35 (3):363-376
[81]Comstock, M., Johansen, K.& Winroth, M. From mass production to mass customization:Enabling perspectives from the Swedish mobile telephone industry. Production Planning and Control,2004,15 (4):362-372
[82]Cornelis, C., De Cock, M.& Eikerre, E. Intuitionistic fuzzy rough sets:At the crossroads of imperfect knowledge. Expert Systems,2003,20 (5):260-270
[83]Cornelis, C., Deschrijver, G.& Kerre, E. E. Implication in intuitionistic fuzzy and interval-valued fuzzy set theory:construction, classification, application. International Journal of Approximate Reasoning,2004,35 (1):55-95
[84]Cristea, I.& Davvaz, B. Atanassov's intuitionistic fuzzy grade of hypergroups. Information Sciences,2010,180 (8):1506-1517
[85]Cristiano, J. J., Liker, J. K.& White, C. C. Customer-driven product development through Quality Function Deployment in the U.S. and Japan. Journal of Product Innovation Management,2000,17 (4):286-308
[86]Curran, R., Price, M.& Raghunathan, S. et al. Integrating aircraft cost modeling into conceptual design. Concurrent Engineering Research and Applications,2005, 13 (4):321-330
[87]Czogala, E., Mrozek, A.& Pawlak, Z. The idea of a rough fuzzy controller and its application to the stabilization of a pendulum-car system. Fuzzy Sets and Systems, 1995,72 (1):61-73
[88]Dahan, E.& Hauser, J. R. The virtual customer. Journal of Product Innovation Management,2002,19 (5):332-353
[89]Danaher, P. J. Using conjoint analysis to determine the relative importance of service attributes measured in customer satisfaction surveys. Journal of Retailing, 1997,73 (2):235-260
[90]De Joannis, J., Coppock, P. S.& Yin, F. et al. Atomistic simulation of cholesterol effects on miscibility of saturated and unsaturated phospholipids:Implications for liquid-ordered/liquid-disordered phase coexistence. Journal of the American Chemical Society,2011,133 (10):3625-3634
[91]De Troyer, O.& Casteleyn, S. Exploiting link types during the conceptual design of websites. International Journal of Web Engineering and Technology,2003,1 (1):17-40
[92]Deschrijver, G.& Kerre, E. E. On the position of intuitionistic fuzzy set theory in the framework of theories modelling imprecision. Information Sciences,2007. 177 (8):1860-1866
[93]Deschrijver, G.& Kerre, E. E. On the relationship between some extensions of fuzzy set theory. Fuzzy Sets and Systems.2003,133 (2):227-235
[94]Dikmen. I., Birgonul, T. M.& Kiziltas, S. Strategic use of quality function deployment (QFD) in the construction industry. Building and Environment,2005. 40 (2):245-255
[95]Domb, E. QFD and TIPS/TRIZ.. TRIZ Journal,2001,11:34-50
[96]Dubois, D.& Prade. H. Twofold fuzzy sets and rough sets--Some issues in knowledge representation. Fuzzy Sets and Systems,1987,23 (1):3-18
[97]Edgeman, R. L. A. H. QFD and the BEST paradigm:deployingsustainable solutions. World Review of Science,Technology and Sustainable development, 2005,2(1):49-59
[98]Eijt. S. W. H., Leegwater, H.& Schut. H. et al. Layer-resolved study of the Mg to MgH2 transformation in Mg-Ti films with short-range chemical order,2010
[99]Eric, V. H.& Katz, R. Shifting Innovation to Users via Toolkits. Management Science,2002,48 (7):821-833
[100]Eyet, N., Freel, K.& Heaven. M. C. et al. Reactions of negative ions with ClN3 at 300 K. Journal of Physical Chemistry A,2010,114 (25):6832-6836
[101]French, M. J. Conceptual Design for Engineers. London, UK:The Design Council.1985:1-97
[102]Fresner, J., Jantschgi, J.& Birkel, S. et al. The theory of inventive problem solving (TRIZ) as option generation tool within cleaner production projects. Journal of Cleaner Production,2010,18 (2):128-136
[103]Fresner, J., Jantschgi, J.& Birkel, S. et al. The theory of inventive problem solving (TRIZ) as option generation tool within cleaner production projects. Journal of Cleaner Production,2010,18 (2):128-136
[104]Fu, R., Chang, B.& Qian, Y. et al. The research of surface state and photoelectronic emission characteristic of NEA GaN photocathode. Nanjing, China:IEEE Computer Society,2010:82-83
[105]Fuchs, C.& Schreier, M. Customer empowerment in new product development. Journal of Product Innovation Management,2011,28 (1):17-32
[106]Fung, R. Y. K., Chen, Y.& Tang, J. A quality-engineering-based approach for conceptual product design. International Journal of Advanced Manufacturing Technology,2007,32 (11-12):1064-1073
[107]Garibay, C., Gutirez, H.& Figueroa, A. Evaluation of a Digital Library by Means of Quality Function Deployment (QFD) and the Kano Model. The Journal of Academic Librarianship,2010,36 (2):125-132
[108]Geng, X., Chu, X.& Xue, D. et al. An integrated approach for rating engineering characteristics' final importance in product-service system development. Computers & Industrial Engineering,2010,59 (4):585-594
[109]Ginn, D., Zairi, M.& Ahmed, P. K. Enhancing agility in manufacturing:The role of QFD,2001:157-174
[110]Gong, Z., Li, L.& Zhou, F. et al. Goal programming approaches to obtain the priority vectors from the intuitionistic fuzzy preference relations. Computers & Industrial Engineering,2009,57 (4):1187-1193
[111]Govers, C. P. M. What and how about quality function deployment (QFD). International Journal of Production Economics,1996,46-47:575-585
[112]Govers, C. P. M. QFD not just a tool but a way of quality management. International Journal of Production Economics,2001,69 (2):151-159
[113]Gu, P., Hashemian, M.& Sosale, S. et al. Module Formation Algorithms for Product Life Cycle Configuration Design. Vancouver,1998
[114]Gu, P.& Singh, D. Product life-cycle serviceability analysis for supporting engineering design. I. activity based cost analysis of life-cycle services.. Eng Design and Automation,1997,3(3):255-274
[115]Gu, P.& Yan, X. Neural network approach to the reconstruction of freeform surfaces for reverse engineering. Computer-Aided Design,1995,27 (1):59-64
[116]Handfield, R., Walton, S. V.& Sroufe, R. et al. Applying environmental criteria to supplier assessment:A study in the application of the Analytical Hierarchy Process. European Journal of Operational Research,2002,141 (1):70-87
[117]Hari, A., Weiss, M. P.& Zonnenshain. A. Design Quality Metrics as a Quantitative Tools for the Conceptual Design of a New Product. Glasgow,2001
[118]Hashemian. M.& Gu, P. Representation and retrieval of design knowledge for conceptual design. Tokyo,1996:85-94
[119]Hassan, A., Siadat, A.& Dantan, J. et al. Conceptual process planning-an improvement approach using QFD, FMEA, and ABC methods. Robotics and Computer-Integrated Manufacturing,2010,26 (4):392-401
[120]Hauser, J. R. C. D. The house of quality. Harvard business review,1988,66(3): 63-73
[121]Hinkle, D. The change of personal constructs from the viewpoint of a theory of construct implications. PhD Thesis, Ohio State University,1965
[122]Hong, D. H.& Choi, C. Multicriteria fuzzy decision-making problems based on vague set theory. Fuzzy Sets and Systems,2000,114 (1):103-113
[123]Hongre, L. Identifying the most promising business model by using the
[124]analytic hierarchy process approach. Amsterdam, Netherlands.,2006
[125]Horskey, D., Nelson, P.& Posavac, S. S. Stating Preference for the Ethereal but Choosing the Concrete:How the Tangibility of Attributes Affects Attribute Weighting in Value Elicitation and Choice. Journal of Consumer Psychology, 2004,14 (1-2):132-140
[126]Hoyle, C. J.& Chen, W. Product attribute function deployment (PAFD) for decision-based conceptual design. IEEE Transactions on Engineering Management,2009,56 (2):271-284
[127]Hsu, W., Jerry Fuh, Y. H.& Zhang, Y. Synthesis of design concepts from a design for assembly perspective. Computer Integrated Manufacturing Systems, 1998.11 (1-2):1-13
[128]Huang, G. Q.& Mak, K. L. Synchronous quality function deployment (QFD) over world wide web. Computers & Industrial Engineering,2002,42 (2-4) 425-431
[129]Huang, H., Bo, R.& Chen, W. An integrated computational intelligence approach to product concept generation and evaluation. Mechanism and Machine Theory,2006,41 (5):567-583
[130]Huang, S. H.& Zhang, H. Neural-expert hybrid approach for intelligent manufacturing:A survey. Computers in Industry,1995.26 (2):107-126
[131]Huang, Y. M. On the general evaluation of customer requirements during conceptual design. Journal of Mechanical Design, Transactions of the ASME. 1999,121 (1):92-97
[132]Jackson, A. G., Pawlak, Z.& LeClair, S. R. Rough sets applied to the discovery of materials knowledge. Journal of Alloys and Compounds,1998.279 (1):14-21
[133]Jagdev, H., Bradley, P.& Molloy, O. A QFD based performance measurement tool. Computers in Industry,1997,33 (2-3):357-366
[134]Jain, V. K.& Sobek Ⅱ, D. K. Linking design process to customer satisfaction through virtual design of experiments. Research in Engineering Design,2006,17 (2):59-71
[135]Jia, G. Z.& Bai, M. An approach for manufacturing strategy development based on fuzzy-QFD. Computers & Industrial Engineering,2011,60 (3):445-454
[136]Jiang, Y., Tang, Y.& Chen, Q. An adjustable approach to intuitionistic fuzzy soft sets based decision making. Applied Mathematical Modelling,2011,35 (2): 824-836
[137]Jiang, Y., Tang, Y.& Chen, Q. et al. Interval-valued intuitionistic fuzzy soft sets and their properties. Computers & Mathematics with Applications,2010,60 (3): 906-918
[138]Jin, Y.& Benami, O. Creative patterns and stimulation in conceptual design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM,2010,24 (2):191-209
[139]Johns, A. M.& Swales, J. M. Past imperfect continuous:Reflections on two ESP lives. English for Specific Purposes,1998,17(1):15-28
[140]Juan, Y., Perng, Y.& Castro-Lacouture, D. et al. Housing refurbishment contractors selection based on a hybrid fuzzy-QFD approach. Automation in Construction,2009,18 (2):139-144
[141]Juttner, U., Christopher, M.& Baker, S. Demand chain management-integrating marketing and supply chain management. Industrial Marketing Management. 2007,36 (3):377-392
[142]Kahraman, C., Ertay, T.& Bekan, G. A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research,2006,171 (2):390-411
[143]Kamarthi, S. V., Kumara, S. T.& Yu, F. T. S. et al. Neural networks and their applications in component design data retrieval. Journal of Intelligent Manufacturing,1990,1(2):125-140
[144]Kano, M., Mukai, Y.& Hasebe, S. How to Estimate True Effect of Changing Operating Condition on Product Quality:ICA-Based Approach,2009, Volume 26: 1015-1019
[145]Kano, N. Life cycle and creation of attractive quality. Linkoping, Sweden,2001
[146]Kano, N., Seraku, N.& Takahashi, F. Attractive quality and must-be quality. Journal of the Japanese Society for Quality Control,1984,14 (2):39-48
[147]Kami, R.& Kaner, M. Teaching innovative conceptual design of systems in the service sector. Technological Forecasting and Social Change,2000,64 (2-3) 225-240
[148]Kazemzadeh, R. B., Behzadian, M.& Aghdasi, M. et al. Integration of marketing research techniques into house of quality and product family design. International Journal of Advanced Manufacturing Technology,2009,41 (9-10):1019-1033
[149]Kelly, G. A. The psychology of personal constructs. New York:W.W. Norton, 1955
[150]Khademi-Zare, H., Zarei, M.& Sadeghieh, A. et al. Ranking the strategic actions of Iran mobile cellular telecommunication using two models of fuzzy QFD. Telecommunications Policy,2010,34 (11):747-759
[151]Khatibi, V.& Montazer, G. A. Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition. Artificial Intelligence in Medicine,2009,47 (1): 43-52
[152]Khoo, L.& Zhai, L. A prototype genetic algorithm-enhanced rough set-based rule induction system. Computers in Industry,2001,46 (1):95-106
[153]Kim, D.& Kim, K. Robustness indices and robust prioritization in QFD. Expert Systems with Applications,2009,36 (2, Part 2):2651-2658
[154]Kim, G., Kim, A.& Sohn, S. Y. Conjoint analysis for luxury brand outlet malls in Korea with consideration of customer lifetime value. Expert Systems with Applications,2009,36 (1):922-932
[155]Kim. J., Kim, J.& Lee, Y. et al. Application of TRIZ creativity intensification approach to chemical process safety. Journal of Loss Prevention in the Process Industries,2009,22 (6):1039-1043
[156]Kim, K., Moskowitz, H.& Dhingra, A. et al. Fuzzy multicriteria models for quality function deployment. European Journal of Operational Research,2000, 121 (3):504-518
[157]Kim, S. H., Choi, S. H.& Kim. J. K. Interactive procedure for multiple attribute group decision making with incomplete information:Range-based approach. European Journal of Operational Research,1999,118(1):139-152
[158]Klir, G. J., Clair, S. U.& Yuan. B. Fuzzy set theory:foundations and applications. Englewood Cliffs. Upper Saddle River, New Jersey:Prentice Hall, 1997
[159]Korayem, M. H.& Iravani, A. Improvement of 3P and 6R mechanical robots reliability and quality applying FMEA and QFD approaches. Robotics and Computer-Integrated Manufacturing,2008,24 (3):472-487
[160]Kraus, S. J. Attitudes and the prediction of behavior:A meta-analysis of the empirical literature. Personality & social psychology bulletin,1995,21 (1):58-75
[161]Kuijt-Evers, L. F. M., Morel, K. P. N.& Eikelenberg, N. L. W. et al. Application of the QFD as a design approach to ensure comfort in using hand tools:Can the design team complete the House of Quality appropriately?. Applied Ergonomics, 2009,40 (3):519-526
[162]Kuipers, B. Qualitative reasoning:modeling and simulation with incomplete knowledge. Cambridge, Massachusetts:MIT Press,1994
[163]Kumar Mondal, T.& Samanta, S. K. Topology of interval-valued intuitionistic fuzzy sets. Fuzzy Sets and Systems,2001,119 (3):483-494
[164]Kuncheva, L. I. Fuzzy rough sets:Application to feature selection. Fuzzy Sets and Systems,1992,51 (2):147-153
[165]Kusiak, A.& Wang, J. Decomposition of the Design Process. Journal of Mechanical Design,1993,115 (4):687-695
[166]Kwong, C. K.& Bai, H. Determining the Importance Weights for the Customer Requirements in QFD Using a Fuzzy AHP with an Extent Analysis Approach. HE Transactions,2003,35 (7):619-626
[167]Kwong, C. K.& Bai, H. A fuzzy AHP approach to the determination of importance weights of customer requirements in quality function deployment. Journal of Intelligent Manufacturing,2002,13 (5):367-377
[168]Kwong, C. K., Chen, Y.& Bai, H. et al. A methodology of determining aggregated importance of engineering characteristics in QFD. Computers & Industrial Engineering,2007,53 (4):667-679
[169]Lager, M. T. T. QFD--linking the customer to the product development process as a part of the TQM concept. R&D Management,1995 (7):257-267
[170]Lakshmana Gomathi Nayagam, V., Muralikrishnan, S.& Sivaraman, G. Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets. Expert Systems with Applications,2011,38 (3):1464-1467
[171]Leary, M.& Burvill, C. Enhancing the quality function deployment conceptual design tool. Journal of Mechanical Design, Transactions of the ASME,2007,129 (7):701-708
[172]Lee, D. H., Kim, S. H.& Ahn, B. S. A conjoint model for Internet shopping malls using customer's purchasing data. Expert Systems with Applications,2000, 19(1):59-66
[173]Lee, J. H.& Kwak, B. M. Reliability-based structural optimal design using the Neumann expansion technique. Computers & Structures,1995,55 (2):287-296
[174]Lee, M. C.& Newcomb, J. F. Applying the Kano methodology to meet customer requirements:NASA's Microgravity science program. Qualify Management Journal,1997,4 (3):95-110
[175]Lee, M. W., Yun, M. H.& Jung, E. S. et al. High Touch:Ergonomics in a conceptual design process-Case studies of a remote controller and personal telephones. International Journal of Industrial Ergonomics,1997,19(3):239-248
[176]Leon, N.& Aguayo, I. H. A new model of the conceptual design process using QFD/FA/TRIZ. TRIZ Journal,1998 (7):3-15
[177]Li, D. F. Extension of the LINMAP for multiattribute decision making under Atanassov's intuitionistic fuzzy environment. Fuzzy Optimization and Decision Making,2008,7 (1):17-34
[178]Li, D. F. Some measures of dissimilarity in intuitionistic fuzzy structures. Journal of Computer and System Sciences,2004,68 (1):115-122
[179]Li, D. F. Multiattribute decision making method based on generalized OWA operators with intuitionistic fuzzy sets. Expert Systems with Applications,2010, 37 (12):8673-8678
[180]Li, D. F. Multiattribute decision making models and methods using intuitionistic fuzzy sets. Journal of Computer and System Sciences,2005,70 (1):73-85
[181]Li, T.& Huang. H. Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems. Expert Systems with Applications,2009. 36 (4):8302-8312
[182]Liang, S.& Kusalik, P. G. Crystal growth simulations of H2s hydrate. Journal of Physical Chemistry B,2010,114 (29):9563-9571
[183]Lin, L., Yuan, X.& Xia, Z. Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets. Journal of Computer and System Sciences,2007,73 (1):84-88
[184]Lin, Y., Cheng, H.& Tseng. M. et al. Using QFD and ANP to analyze the environmental production requirements in linguistic preferences. Expert Systems with Applications,2010,37 (3):2186-2196
[185]Liu, H. Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Applied Mathematical Modelling,2011,35 (1):482-496
[186]Liu, H. The extension of fuzzy QFD:From product planning to part deployment. Expert Systems with Applications,2009,36 (8):11131-11144
[187]Liu, H.& Wang, C. An advanced quality function deployment model using fuzzy analytic network process. Applied Mathematical Modelling,2010,34 (11): 3333-3351
[188]Liu, H.& Wang, G. Multi-criteria decision-making methods based on intuitionistic fuzzy sets. European Journal of Operational Research,2007,179(1): 220-233
[189]Liu, J.& Wu, C. An integrated method for supplier selection in SCM. Chongqing, China,2005:617-620
[190]Liu, S.& Shyu, J. Strategic planning for technology development with patent analysis. International Journal of Technology Management,1997,13 (5-6) 661-680
[191]Lo, C., Tseng, K. C.& Chu, C. One-Step QFD based 3D morphological charts for concept generation of product variant design. Expert Systems with Applications,2010,37 (11):7351-7363
[192]Locascio, A.& Thurston, D. L. Transforming the House of Quality to a multiobjective optimization formulation. Structural and Multidisciplinary Optimization,1998,16 (2):136-146
[193]Lofgren, M.& Witell, L. Two Decades of Using Kano's Theory of Attractive Quality:A Literature Review. The Quality Management Journal,2008,15(1) 59-66
[194]Lootsma, F. A. Saaty's priority theory and the nomination of a senior professor in operations Research. European Journal of Operational Research,1980,4(6) 380-388
[195]Lowe, A., Ridgway, K.& Atkinson, H. QFD in new production technology evaluation. International Journal of Production Economics,2000,67(2):103-112
[196]Luck, R.& McDonnell, J. Architect and user interaction:The spoken representation of form and functional meaning in early design conversations. Design Studies,2006,27 (2):141-166
[197]Luo, B.& Tang, X. Visualized clustering of ideas for group argumentation. Toronto, ON, Canada:IEEE Computer Society,2010:136-141
[198]Maiden, N. A. M.& Rugg, G. ACRE:selecting methods for requirements acquisition. Software Engineering Journal,1996,11 (3):183-192
[199]Marsot, J. QFD:a methodological tool for integration of ergonomics at the design stage. Applied Ergonomics,2005,36 (2):185-192
[200]Mesiar, R. Fuzzy set approach to the utility, preference relations, and aggregation operators. European Journal of Operational Research,2007,176 (1): 414-422
[201]Min, D.& Kim, K. An extended QFD planning model for selecting design requirements with longitudinal effect consideration. Expert Systems with Applications,2008,35 (4):1546-1554
[202]Mitri, M. Task-specific problem-solving architecture for candidate evaluation. AI Magazine,1991,12 (3):95-109
[203]Mizuno, S.& Akao, Y. The Customer-Driven Approach to Quality Planning and Deployment. Tokyo,Japan:Asian Productivity Organization,1994:1-87
[204]Moens, J., Seidel, R.& Geerlings, P. et al. Energy levels and redox properties of aqueous Mn2+/3+from photoemission spectroscopy and density functional molecular dynamics simulation. Journal of Physical Chemistry B,2010,114(28): 9173-9182
[205]Monostori, L.& Barschdorff, D. Artificial neural networks in intelligent manufacturing. Robotics and computer-integrated manufacturing,1992,9(6) 421-437
[206]Moran, J. J. Customer integration:The Quality Function Deployment (QFD) leader's guide for decision-making:by Doug Daetz, Bill Barnard, and Rick Norman. New York:John Wiley & Sons, Inc.,1995.300 pages.$45.00.. Journal of Product Innovation Management, 1997,14 (2):148-149
[207]Moran, J. J. Quality function deployment:How to make QFD work for you:by Lou Cohen. Reading, MA:Addison-Wesley,1995,348 pages.$39.76. Journal of Product Innovation Management, 1996,13 (2):183-184
[208]Moskowitz, H. K. J. K. QFD optimer:a novice friendly quality function deployment decision support system for optimizing product designs. Computers & Industrial Engineering,1997,32 (3):641-655
[209]Moxnes, E. Estimating customer utility of energy efficiency standards for refrigerators. Journal of Economic Psychology,2004,25 (6):707-724
[210]Mustafa, M. A.& Al-Bahar, J. F. Project risk assessment using the analytic hierarchy process. Engineering Management, IEEE Transactions on,1991,38(1): 46-52
[211]Myung, R. Conjoint analysis as a new methodology for Korean typography guideline in Web environment. International Journal of Industrial Ergonomics, 2003,32 (5):341-348
[212]Nagel, R. L., Hutcheson, R.& McAdams, D. A. et al. Process and event modelling for conceptual design. Journal of Engineering Design,2011,22 (3) 145-164
[213]Nambisan, S. R. A. B. Virtual Customer Environments:Testing a Model of Voluntary Participation in Value Co-creation Activities. Journal of Product Innovation Management,2009,26 (4):388-406
[214]Nambisan, S. Information Systems as a Reference Discipline for New Product Development. MIS Quarterly,2003,27 (1):1-18
[215]Nanda, S.& Majumdar, S. Fuzzy rough sets. Fuzzy Sets and Systems,1992,45 (2):157-160
[216]Nepal, B., Yadav, O. P.& Murat, A. A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development. Expert Systems with Applications,2010,37 (10):6775-6786
[217]Nilsson-Witell L., A. F. Dynamics of service attributes:a test of Kano's theory of attractive quality. International Journal of Service Industry Management,2005, 16 (2):152-168
[218]Ohsuga, S. Toward intelligent CAD systems. Computer-Aided Design,1989,21 (5):315-337
[219]Osborn, A. F. Applied Imagination, Principles and Procedures of Creative Thinking. New York:Scribner,1953
[220]Ozok, A. A., Fan, Q.& Norcio, A. F. Design guidelines for effective recommender system interfaces based on a usability criteria conceptual model: Results from a college student population. Behaviour and Information Technology,2010,29 (1):57-83
[221]Pahl, G.& Beitz, W. Engineering design-a systematic approach. London: Springer-Verlag,1996
[222]Pahl, G.& Beitz, W. Engineering design:a systematic approach. London: Springer,1988
[223]Park, D. G., Kwun, Y. C.& Park, J. H. et al. Correlation coefficient of interval-valued intuitionistic fuzzy sets and its application to multiple attribute group decision making problems. Mathematical and Computer Modelling,2009, 50 (9-10):1279-1293
[224]Park, R. E.& Paul, A. J. Large business customer response to time-of-day electricity rates. Journal of Econometrics,2007.26 (1-2):229-252
[225]Partovi, F. Y. An analytical model of process choice in the chemical industry. International Journal of Production Economics,2007,105 (1):213-227
[226]Pawlak, Z., Grzymala Busse, J.& Slowinski, R. Rough sets.38,1995,11 (88-95)
[227]Pawlak, Z. Rough classification. International Journal of Human-Computer Studies,1999,51 (2):369-383
[228]Pawlak, Z. Rough sets and fuzzy sets. Fuzzy Sets and Systems,1985,17(1) 99-102
[229]Pawlak, Z. Rough classification. International Journal of Man-Machine Studies, 1984,20 (5):469-483
[230]Pawlak, Z.& Skowron, A. Rough sets:Some extensions. Information Sciences, 2007,177 (1):28-40
[231]Pawlak, Z.& Skowron, A. Rudiments of rough sets. Information Sciences,2007, 177 (1):3-27
[232]Pawlak. Z., Slowinski, K.& Slowinski, R. Rough classification of patients after highly selective vagotomy for duodenal ulcer. International Journal of Man-Machine Studies,1986,24 (5):413-433
[233]Phal, G.& Beitz, W. Engineering design. London. UK:The Design Council, 1984:1-89
[234]Prasad, B. Review of QFD and related deployment techniques. Journal of Manufacturing Systems,1998,17 (3):221-234
[235]Qiu, S. L., Fok. S. C.& Chen. C. H. et al. Conceptual Design Using Evolution Strategy. The International Journal of Advanced Manufacturing Technology, 2002,20 (9):683-691
[236]Ribeiro Da Silva, M. A. V., Monte, M. J. S.& Lobo Ferreira, A. I. M. C. et al. A combined experimental and computational thermodynamic study of difluoronitrobenzene isomers. Journal of Physical Chemistry B,2010,114 (40): 12914-12925
[237]Rio, J. G. D., Hayes, D. G.& Urban, V. S. Partitioning behavior of an acid-cleavable,1.3-dioxolane alkyl ethoxylate. surfactant in single and binary surfactant mixtures for 2-and 3-phase microemulsion systems according to ethoxylate head group size. Journal of Colloid and Interface Science,2010,352 (2):424-435
[238]Robles, G. C., Rodriguez, A. M.& Negny, S. et al. The TRIZ-CBR synergy:A knowledge based innovation process. International Journal of Manufacturing Technology and Management,2011,22 (3):233-246
[239]Rozycki, B., Lipowsky, R.& Weikl, T. R. Segregation of receptor-ligand complexes in cell adhesion zones:Phase diagrams and the role of thermal membrane roughness. New Journal of Physics,2010,12
[240]Rugg, G.& McGeorge, P. The sorting techniques:a tutorial paper on card sorts, picture sorts and item sorts. Expert Systems. Expert Systems,1997,14 (80-93)
[241]Rugg, G.& McGeorge, P. Laddering. Expert Systems,1995,12:339-346
[242]Rugg, M. D.& Doyle, M. C. Event-Related Potentials and Recognition Memory for Low-and High-Frequency Words. Journal of Cognitive Neuroscience,1992, 4(1):69-79
[243]Saaty, T. L. The analytic hierarchy process:Planning, priority setting and resource allocation. New York:McGraw-Hill,1980:1-203
[244]Saaty, T. L. A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology,1977,15:234-281
[245]Salah, F.& Abdalla, H. A knowledge-based system for enhancing conceptual design. International Journal of Computer Applications in Technology,2011,40 (1-2 SPEC.ISSUE):23-36
[246]Salhieh, S. M. A methodology to redesign heterogeneous product portfolios as homogeneous product families. Computer-Aided Design,2007,39 (12) 1065-1074
[247]Santos-Reyes, D. E.& Lawlor-Wright, T. Understanding design in nature can benefit product conceptual design. International Journal of Design and Nature and Ecodynamics,2009,4(2):105-122
[248]Saroja, S., Dasgupta, A.& Divakar, R. et al. Development and characterization of advanced 9Cr ferritic/martensitic steels for fission and fusion reactors. Journal ofNuclear Materials,2011,409 (2):131-139
[249]Sawhney, M., Verona, G.& Prandelli, E. Collaborating to create:The Internet as a platform for customer engagement in product innovation. Journal of Interactive Marketing,2005,19 (4):4-17
[250]Schneider, G. J.& Goritz, D. Strain induced anisotropies in silica polydimethylsiloxane composites. Journal of Chemical Physics,2010,133 (2)
[251]Schockaert, S., De Cock, M.& Cornelis. C. et al. Fuzzy region connection calculus:An interpretation based on closeness. International Journal of Approximate Reasoning,2008,48 (1):332-347
[252]Schonberger, R. J. Japanese production management:An evolution--With mixed success. Journal of Operations Management,2007,25 (2):403-419
[253]Shalahim, N. S. M. Adopting Lean Principles:A case study. Kowloon, Hong kong:Newswood Ltd.,2010:1764-1769
[254]Shao, X., Chu, X.& Qiu, H. et al. An expert system using rough sets theory for aided conceptual design of ship's engine room automation. Expert Systems with Applications,2009,36 (2, Part 2):3223-3233
[255]Shao, X., Li, X.& Gao, L. et al. Integration of process planning and scheduling--A modified genetic algorithm-based approach. Computers & Operations Research,2009,36 (6):2082-2096
[256]Sharma, B. RUL assessment of lube oil using AHP and vector projection approach. Industrial Lubrication and Tribology,2006,58 (4):187-189
[257]Shieh, M., Yan. W.& Chen, C. Soliciting customer requirements for product redesign based on picture sorts and ART2 neural network. Expert Systems with Applications,2008,34 (1):194-204
[258]Shin, J., Jun, H.& Kiritsis. D. et al. A decision support method for product conceptual design considering product lifecycle factors and resource constraints. International Journal of Advanced Manufacturing Technology,2011,52 (9-12): 865-886
[259]Simpson Jr., B. K.& Schaefer, D. Systematic design method for large-scale manufacturing of fabricated polymers. San Diego, CA. United states:American Society of Mechanical Engineers,2010:541-552
[260]Singh, D.& Gu, P. Product life-cycle serviceability analysis for supporting engineering design. Ⅱ. serviceability analysis for product redesign.. Eng Design and Automation,1997,3(3):275-297
[261]Singh, N. Systems approach to computer-integrated design and manufacturing. New York:John Wiley & Sons,1995
[262]Sohn, S. Y.& Choi. I. S. Fuzzy QFD for supply chain management with reliability consideration. Reliability Engineering & System Safety,2001,72 (3): 327-334
[263]Sridharan, P.& Campbell, M. I. A study on the grammatical construction of function structures. Artificial Intelligence for Engineering Design, Analysis and Manufacturing:AIEDAM,2005,19 (3):139-160
[264]Srinivasan. R.& Kraslawski, A. Application of the TRIZ creativity enhancement approach to design of inherently safer chemical processes. Chemical Engineering and Processing,2006,45 (6):507-514
[265]Suh, N. P. The principles of design. Oxford, UK:Oxford University Press,1990
[266]Sullivan, L. P. Quality function deployment. Quality Progress,1986,19 (6) 39-50
[267]Sun, J., Kalenchuk, D. K.& Xue, D. et al. Design candidate identification using neural network-based fuzzy reasoning. Robotics and Computer-Integrated Manufacturing,2000,16 (5):383-396
[268]Sun, Y.& Liu, X. F. Business-oriented software process improvement based on CMMI using QFD. Information and Software Technology,2010,52 (1):79-91
[269]Szmidt, E.& Kacprzyk, J. Entropy for intuitionistic fuzzy sets. Fuzzy Sets and Systems,2001,118 (3):467-477
[270]Taguchi, G. Introduction to quality engineering:designing quality into products and processes. Tokyo:Asian Productivity Organization,1986
[271]Takai, S.& Ishii, K. A use of subjective clustering to support affinity diagram results in customer needs analysis. Concurrent Engineering Research and Applications,2010,18 (2):101-109
[272]Tan, C. M.& Neo, T. QFD implementation in a discrete semiconductor industry. Anaheim, LA.,2002:484-489
[273]Tan, C.& Chen, X. Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making. Expert Systems with Applications,2010,37 (1): 149-157
[274]Tan, K. C.& Shen, X. X. Integrating Kano's model in the planning matrix of quality function deployment. Total Quality Management,2000,11 (8) 1141-1151
[275]Tan, K. C., Xie, M.& Shen, X. X. Development of innovative products using Kano's model quality function deployment. International Journal of Innovation Management, 1999,3(3):271-286
[276]Terninko, J. The QFD, TRIZ and Taguchi connection:customer-driven robust innovation.1998
[277]Tsai, H.& Hsiao, S. Evaluation of alternatives for product customization using fuzzy logic. Information Sciences,2004,158:233-262
[278]Tseng, M. M., Jiao, J.& Merchant, M. E. Design for mass customization. CIRP Annals-Manufacturing Technology,1996,45 (1):153-156
[279]Usma-Alvarez, C. C., Subic, A.& Burton, M. et al. Identification of design requirements for rugby wheelchairs using the QFD method. Procedia Engineering, 2010,2 (2):2749-2755
[280]Utne, I. B. Improving the environmental performance of the fishing fleet by use of Quality Function Deployment (QFD). Journal of Cleaner Production,2009,17 (8):724-731
[281]Vashitz, G., Nunnally, M. E.& Bitan, Y. et al. Making sense of diseases in medication reconciliation,2010:1-8
[282]Venugopal, V.& Narendran. T. T. Neural network model for design retrieval in manufacturing systems. Computers in Industry,1992,20 (1):11-23
[283]Verhaegen, P. A., D'Hondt, J.& Vertommen, J. et al. Relating properties and functions from patents to TRIZ trends. CIRP Journal of Manufacturing Science and Technology,2009,1(3):126-130
[284]Verona G., E. P. M. S. Innovation and Virtual Environments:Towards Virtual Knowledge Brokers. Organization Studies,2006,27 (6):765-788
[285]Vlachos, I. K.& Sergiadis, G. D. Intuitionistic fuzzy information-Applications to pattern recognition. Pattern Recognition Letters,2007,28 (2):197-206
[286]von Hippel, E. Lead users:A source of novel product concept. Management Science,1986,32 (7):791-805
[287]Von Hippel, E. Shifting innovation to users via toolkits. Management Science, 2002,48 (7):821-833
[288]Von Hippel, E. Lead Users:A Source of Novel Product Concepts. Management Science,1986,32 (7):791-805
[289]Wang, J. Fuzzy outranking approach to prioritize design requirements in quality function deployment. International Journal of Production Research,1999,37 (4): 889-916
[290]Wang, J. R. Improved engineering design concept selection using fuzzy sets. International Journal of Computer Integrated Manufacturing,2002,15(1):18-27
[291]Wang, J. R. Ranking engineering design concepts using a fuzzy outranking preference model. Fuzzy Sets and Systems,2001,119(1):161-170
[292]Webb, A. TRIZ:An inventive approach to invention. Manufacturing Engineer. 2002,81 (4):171-177
[293]Wei, G. W. Some geometric aggregation functions and their application to Dynamic multiple attribute decision making in intuitionistic fuzzy setting. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems. 2009,17 (2):179-196
[294]Wei, G. W. GRA method for multiple attribute decision making with incomplete weight information in intuitionistic fuzzy setting. Knowledge-Based Systems, 2010,23 (3):243-247
[295]Wei, G. W. Some induced geometric aggregation operators with intuitionistic fuzzy information and their application to group decision making. Applied Soft Computing,2010,10 (2):423-431
[296]Wei, G. W. Gray relational analysis method for intuitionistic fuzzy multiple attribute decision making. Expert Systems with Applications, In Press, Corrected Proof
[297]Wei, Y.,Cao, J.& Wang, G. On the characterization diagrams of planar cubic hybrid hyperbolic polynomial curve. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics,2010,22(5): 833-837
[298]Withanage, C., Park, T.& Choi, H. A concept evaluation method for strategic product design with concurrent consideration of future customer requirements. Concurrent Engineering Research and Applications,2010,18 (4):275-289
[299]Wojanowski, R., Verter, V.& Boyaci, T. Retail-collection network design under deposit-refund. Computers & Operations Research,2007,34 (2):324-345
[300]Wood, I. W. H.& Agogino, A. M. Case-based conceptual design information server for concurrent engineering. CAD Computer Aided Design,1996,28 (5) 361-369
[301]Wygralak, M. Rough sets and fuzzy sets-some remarks on interrelations. Fuzzy Sets and Systems,1989,29 (2):241-243
[302]Xu, M.& Walton, J. Gaining customer knowledge through analytical CRM. Industrial Management and Data Systems,2005,105 (7):955-971
[303]Xu, Z. Intuitionistic preference relations and their application in group decision making. Information Sciences,2007,177 (11):2363-2379
[304]Xu, Z., Chen, J.& Wu, J. Clustering algorithm for intuitionistic fuzzy sets. Information Sciences,2008,178 (19):3775-3790
[305]Xu, Z.& Yager, R. R. Dynamic intuitionistic fuzzy multi-attribute decision making. International Journal of Approximate Reasoning,2008,48 (1):246-262
[306]Xue, D.& Dong, Z. Coding and clustering of design and manufacturing features for concurrent design. Computers in Industry,1997,34 (1):139-153
[307]Yamashina, H., Ito. T.& Kawada, H. Innovative product development process by integrating QFD and TRIZ. International Journal of Production Research, 2002,40 (5):1031-1050
[308]Yan, W., Chen, C. H.& Khoo, L. P. An integrated approach to the elicitation of customer requirements for engineering design using picture sorts and fuzzy evaluation. Artificial Intelligence for Engineering Design, Analysis and Manufacturing:AIEDAM,2002,16 (2):59-71
[309]Yan, W., Pritchard, M. C.& Chen, C. H. et al. A study of bidding-oriented collaborative product conceptualization. International Journal of Computer Integrated Manufacturing,2006,19 (2):161-177
[310]Yan, W., Chen, C.& Khoo, L. P. A Web-enabled product definition and customization system for product conceptualization. Expert Systems,2005,22 (5):241-253
[311]Yan, W., Chen, C.& Khoo, P. L. A Radial Basis Function Neural Network Multicultural Factors Evaluation Engine For Product Concept Development. Expert Systems,2001,18 (5):219-232
[312]Yan, W., Chen, C.& Shieh, M. Product concept generation and selection using sorting technique and fuzzy c-means algorithm. Computers & Industrial Engineering,2006,50 (3):273-285
[313]Yan, W., Khoo, L. P.& Chen, C. A QFD-enabled product conceptualisation approach via design knowledge hierarchy and RCE neural network. Knowledge-Based Systems,2005,18 (6):279-293
[314]Yang, J.& Sen, P. Multiple Attribute Design Evaluation of Complex Engineering Products Using the Evidential Reasoning Approach. Journal of Engineering Design,1997,8(3):211-230
[315]Yang, Y. Q., Wang, S. Q.& Dulaimi, M. et al. A fuzzy quality function deployment system for buildable design decision-makings. Automation in Construction,2003,12 (4):381-393
[316]Yao, L.& Zou, L. A study on conceptual design of mechatronic system. Journal of Donghua University (English Edition),2008,25 (4):434-438
[317]Yaqiong, L., Man, L. K.& Zhang, W. Fuzzy theory applied in quality management of distributed manufacturing system:A literature review and classification. Engineering Applications of Artificial Intelligence,2011,24 (2) 266-277
[318]Ye, J. Fuzzy cross entropy of interval-valued intuitionistic fuzzy sets and its optimal decision-making method based on the weights of alternatives. Expert Systems with Applications,2011,38 (5):6179-6183
[319]Ye, J. Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment. European Journal of Operational Research,2010,205 (1):202-204
[320]Ye, J. Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment. Expert Systems with Applications,2009,36 (3, Part 2):6899-6902
[321]Yousefie, S., Mohammadi, M.& Monfared, J. H. Selection effective management tools on setting European Foundation for Quality Management (EFQM) model by a quality function deployment (QFD) approach. Expert Systems with Applications,2011,38 (8):9633-9647
[322]Yu, L.& Wang, L. A fuzzy intelligent design retrieving system for customer requirements. International Journal of Computer Applications in Technology, 2008,33 (2-3):247-254
[323]Zadeh, L. A. Fuzzy sets. Information and Control,1965,8(3):338-353
[324]Zarei, M., Fakhrzad, M. B.& Jamali Paghaleh, M. Food supply chain leanness using a developed QFD model. Journal of Food Engineering,2011,102 (1) 25-33
[325]Zhai, L. Y., Khoo, L. P.& Zhong, Z. W. Towards a QFD-based expert system:A novel extension to fuzzy QFD methodology using rough set theory. Expert Systems with Applications,2010,37 (12):8888-8896
[326]Zhai, L., Khoo, L.& Zhong, Z. A rough set based QFD approach to the management of imprecise design information in product development. Advanced Engineering Informatics,2009,23 (2):222-228
[327]Zhai, L., Khoo, L.& Zhong, Z. Design concept evaluation in product development using rough sets and grey relation analysis. Expert Systems with Applications,2009,36 (3, Part 2):7072-7079
[328]Zhan, J.,Loh, H. T.& Liu, Y. Gather customer concerns from online product reviews-A text summarization approach. Expert Systems with Applications, 2009,36 (2, Part I):2107-2115
[329]Zhang, H. C., Kuo, T. C.& Lu, H. et al. Environmentally conscious design and manufacturing:A state-of-the-art survey. Journal of Manufacturing Systems. 1997,16 (5):352-371
[330]Zhang, Z.& Chu, X. A new approach for conceptual design of product and maintenance. International Journal of Computer Integrated Manufacturing,2010. 23 (7):603-618
[331]Zhou, L., Wu, W.& Zhang, W. On characterization of intuitionistic fuzzy rough sets based on intuitionistic fuzzy implicators. Information Sciences,2009,179(7): 883-898
[332]Zhou, M. Fuzzy logic and optimization models for implementing QFD. Computers & Industrial Engineering,1998,35 (1-2):237-240
[333]Ziv-Av, A.& Reich, Y. SOS-subjective objective system for generating optimal product concepts. Design Studies,2005,26 (5):509-533
[334]程晓冬和李建勇.基于粗糙集的柔性制造系统概念设计实例检索技术.计算机集成制造系统,2005(06)：768-771
[335]戴庆辉和郭彩玲.计算机辅助产品创新集成工具的框架.机械设计,2003(05)
[336]邓家禔.产品设计的基本理论与技术.中国机械工程,2000,11(1-2)139-143
[337]邓家提,韩晓建和曾硝.产品概念设计——理论、方法与技术.北京：机械工业出版社,2002
[338]管虹翔.基于相关QFD与TRIZ的概念设计方法研究与软件开发,硕士学位论文,西南石油大学,2006
[339]桂晓凤.直觉模糊信息集成理论及应用.武汉：湖北人民出版社,2009：548-649
[340]侯智和陈世平.基于Kano模型的用户需求重要度调整方法研究.计算机集成制造系统,2005(12)：1785-1789
[341]侯智,张根保和余德忠等.基于QFD、TRIZ和稳健设计的设计方法体系结构研究.机械设计与研究,2003(03)
[342]华中生和汪炜.基于QFD与TRIZ技术工具的产品概念设计方法.计算机集成制造系统,2004(12)：1588-1593
[343]纪国华,李彦和胡艳等.集成QFD、TRIZ、CAPP与DOE的产品创新设计模型.机械设计与制造,2010(10)：62-64
[344]雷英杰,王宝树和路艳丽.基于直觉模糊逻辑的近似推理方法.控制与决策,2006(03)：305-310
[345]雷英杰,王宝树和苗启广.直觉模糊关系及其合成运算.系统工程理论与实践,2005(02)：113-118
[346]李剑,范小军和黄沛.基于粗糙集的知识理论及其应用.系统工程理论方法应用,2001(03)：184-188
[347]李凯,赵克和胡钢伟.基于粗糙集的数据挖掘技术在机械传动设计中的应用研究.机械科学与技术,2005(02)：223-225
[348]李延来,唐加福和姚建明.质量屋构建的研究进展.机械工程学报,2009,45(2)： 280-293
[349]林琳.直觉模糊集在近似推理与决策中的应用,博士学位论文,大连理工大学,2006
[350]刘鸿恩和张列平.质量功能展开(QFD)理论与方法研究进展综述.系统工程,2000(02)：1-6
[351]刘克,单志广和王戟等.“可信软件基础研究”重大研究计划综述.中国科学基金,2008(03)：145-151
[352]马怀宇和孟明辰.基于TRIZ/QFD/FA的产品概念设计过程模型.清华大学学报(自然科学版),2001(11)：56-59
[353]牟健慧,李少波和韩涛等.TRIZ理论对QFD中问题的改进.机械设计,2010(03)：84-88
[354]年丰和王伟.基于QFD/TRIZ/CAD技术融合的微波黑体定标源优化设计. 宇航计测技术,2008(05)：6-10
[355]聂大安,李彦和麻广林等.基于SWOT/TRIZ/QFD的产品开发策略形成过程研究.机械设计,2009(11)：1-5
[356]彭云,聂承启和万红新等.粗糙集在决策系统中的应用.江西师范大学学报(自然科学版),2002(03)：229-231
[357]邵家骏.质量功能展开.北京：中国机械工业出版社,2004
[358]施丽娟.直觉模糊多属性决策问题的决策方法研究,硕士学位论文,西南交通大学,2010
[359]石贵龙和佘元冠.基于QFD、TRIZ和田口方法的问题解决理论研究.系统工程与电子技术,2008(05)：851-857
[360]檀润华.发明问题解决理论.北京：科学出版社,2004：1-159
[361]檀润华,马建红和张换高等.基于QFD及TRIZ的概念设计过程研究.机械设计,2002(09)：1-4
[362]檀润华,王庆禹和苑彩云等.发明问题解决理论TRIZ——TRIZ过程、工具及发展趋势.机械设计,2001(07)：7-12
[363]檀润华,张瑞红和江屏等.产品设计中的冲突确定方法及解决过程.机械设计,2003(10)
[364]万红新,彭云和聂承启.基于模糊集和粗糙集的关联规则挖掘策略.江西师范大学学报(自然科学版),2005(01)：23-25
[365]汪新凡.模糊数直觉模糊几何集成算子及其在决策中的应用.控制与决策,2008(06)：607-612
[366]王坚强.模糊多准则决策方法研究综述.控制与决策,2008(06)：601-606
[367]王坚强.几类信息不完全确定的多准则决策方法研究,博士学位论文,中南大学,2005
[368]王开荣和杨红.基于直觉模糊集的多属性决策方法.模糊系统与数学,2010(03)：114-118
[369]王晓暾.不确定信息环境下的质量功能展开方法研究,博士学位论文,浙江大学,2010
[370]王晓暾和熊伟.基于QFD和TRIZ的可信软件技术冲突解决方法.航空学报,2011(01)：128-136
[371]王宗军和储茂广.模糊粗糙集中综合评价的属性约简和规则获取.管理学报,2009(04)：444-446
[372]卫贵武.几类模糊多属性决策方法研究,博士学位论文,西南交通大学,2009
[373]谢友柏.产品的性能特征与现代设计.中国机械工程,2000(Z1)
[374]熊伟.质量功能展开：从理论到实践.北京：科学出版社,2009：1-224
[375]熊伟.质量机能展开.北京：化学工业出版社,2005：1-267
[376]熊伟和王晓暾.基于质量功能展开的可信软件需求映射方法.浙江大学学报(工学版),2010(05)：881-886
[377]徐泽水.区间直觉模糊信息的集成方法及其在决策中的应用.控制与决策,2007(02)：215-219
[378]徐泽水.直觉模糊偏好信息下的多属性决策途径.系统工程理论与实践,2007(11)：62-71
[379]徐泽水和陈剑.一种基于区间直觉判断矩阵的群决策方法.系统工程理论与实践,2007(04)：126-133
[380]余伟伟,帅茨平和周惠兰.QFD和TRIZ集成在儿童玩具车概念设计中的应用.包装工程,2007(07)：158-160
[381]张彦军.基于QFD与TRIZ的机械产品概念设计研究,硕士学位论文,西安电子科技大学,2004
[382]邹慧君,汪利和王石刚等.机械产品概念设计及其方法综述.机械设计与研究,1998(02)：4-8