大型空分设备关键部机质量的多尺度智能化协同化控制理论及其应用
|
摘要
为解决空分设备中关键部机质量控制过程中所面临的多尺度问题、协同化问题、耦合性问题、不确定因素影响问题等,本文提出了多尺度协同化、智能化的空分设备关键部机质量控制方法,对空分设备客户需求的处理、需求与质量特性映射模型的构建、质量特性实现水平的确定、供应链的构建、模块的划分与粒度的确定、各尺度的质量控制和质量控制方案的评价与选择进行了深入研究,依托国家重点资助项目并结合企业的具体应用将上述方法应用于深冷式空分设备关键部机的质量控制中,取得了良好的效果。
论文的主要内容如下：
第一章综述了一般产品质量控制方法的内涵和发展历程,回顾了当前国内外产品质量控制方法的研究现状。描述了空分设备的产品结构和质量控制特点,阐述了空分设备质量控制的内涵和所面临的挑战。在分析了现有产品质量控制方法不足的基础之上,介绍了本课题的主要思想和研究背景,同时给出了面向空分设备关键部机质量控制的多尺度协同化智能化控制理论。
第二章分析了空分设备整机客户需求与质量特性映射过程中所具有的多重耦合性问题,提出了客户需求的模糊DEMATEL处理方法,提出了基于Shafer模糊效用推理理论的质量特性映射模型,给出了质量特性实现水平的多目标模糊表达式,进而利用非支配排序进化算法进行求解并获得多个可行的参考解。利用模糊信息熵优选原理对这些参考接进行评价来获得综合最优的质量特性实现水平从而为后续质量控制提供基础。以空分设备的客户需求处理、质量特性映射、质量特性实现水平的确定为实例,验证了方法的实用性。
第三章提出了空气压缩机零部件尺度的质量、成本、交货期控制以及供应链构建的二阶段优化方法。建立了空分设备零部件质量、成本、交货期的多目标优化模型,利用Epsilon策略来改进强度帕累托进化算法,将改进后的算法用于模型求解并得到了良好的供应备选方案。将伯努利预测模型和傅里叶修正技术了融入到多属性决策机制中,采用这一机制对供应商进行评价得出最佳的供应商和对应的高质量、低成本、交货周期短的零部件,从而实现了构建了空气压缩机零部件优化设计。上述方法在空气压缩机的具体成功应用,表明了方法的有效性。
第四章提出了基于质量准则的空气压缩机模块构建与粒度确定方法。研究以模块尺度上的质量损失最小、质量独立性最大、质量稳定性最大为模块划分的目标准则,并由此给出质量需求与空气压缩机模块的耦合变动度计算模型。利用新的模糊C均值算法对空气压缩机的模块化体系结构进行构建,利用混合青蛙跳跃算法进行求解,得到不同粒度层次下的模块化结构方案。给出了衡量客户满意度、装配复杂度以及变型设计复杂度等量化指标来对各粒度层次下的模块方案进行数学评价进而确定最优的方案和合理的粒度。最后详细分析了空气压缩机模块划分与粒度确定的实际应用案例。
第五章提出了透平膨胀机整机尺度上的质量、成本控制方法。针对透平膨胀机在配置、组装过程中需要受到很多不确定因素影响这一问题,提出了基于集对分析理论的质量、成本综合控制联系度模型。通过设计相应的编码规则和约束处理机制来改进演化细胞学自动机算法,并将改进后的算法用于求解上述模型并得到相对确定条件下的质量、成本控制方案的优劣排序关系-基序。考虑不确定因素的影响,采用随机模拟的方式对不确定环境进行模拟,通过模糊集值统计方法确定差异度进而得到透平膨胀机质量、成本控制方案的最终优劣排序-扩展序。以透平膨胀机质量、成本控制过程的数值仿真作为演示案例,证明所提方法可以为企业产品研发提供一种有效的参考。
第六章提出了基于模糊Choquet积分与证据理论的透平膨胀机质量控制方案的评价与选择方法。首先考虑透平膨胀机质量控制方案的评价信息具有模糊性、不完备性等问题,利用α-截集的模糊评价法对各质量准则进行评价；其次,考虑到透平膨胀机质量控制方案的各个质量准则具有耦合性和关联性,采用模糊Choquet积分对方案评价模型进行建模。最后,针对各个评价专家之间的意见具有冲突性,采用证据理论对各专家意见进行融合以达到协同决策的目的。以三个专家对四种透平膨胀机质量控制方案的评价和选择为例,说明上述决策模型的有效性。
第七章依托国家科研项目,结合企业的实际工程需求和本文的研究成果,开发了空分设备质量、成本控制的数字化信息系统(HY-ASEQCS)。以图文并茂的形式演示了HY-ASEQCS的应用过程和操作方法,通过具体的项目实施验证了本文所提出的理论和方法的有效性和可行性。
第八章总结了全文的主要研究内容、意义、成果以及创新点,并展望了未来的研究工作。
To deal with multi-scale, collaboration, coupling, uncertainty et.al problems in the quality control process of air separation equipment, a new multi-scale collaborative intelligent technology consisting of customer requirements, mappings between customer requirements and quality characteristics, quality characteristics fulfillments level, suppliers chain construction, module division and granule decision, quality control for each scale, quality control scheme evaluation and selection, is proposed in this dissertation. Relying on important projects supported by national basic foundation, referring to realistic application of corporation, the effeteness and validity is proved.
The main contents of this dissertation are as follows:
Chapter1gives the reviews of quality control methods for common product, which consists of development process and current research trend. The physical structure and quality control characteristics of air separation equipment are discussed, as well. Based on the deficiencies analyzed in existing method of quality control, the main ideas and research background of quality control for air separation equipment products are given. At last, a new multi-scale collaborative intelligent technology of quality control is given.
Chapter2analyzes issues existing in most traditional methods for mapping from customer requirements to quality characteristics, a novel method using a combination of multi-criteria decision models and multi-objective optimization algorithm is put forward. With the focus on influences among customer requirements, fuzzy DEMATEL method is used for determining importance ratings of customer requirements. Shafer integral is applied to aggregate relationships between requirements and quality characteristics, so importance ratings of quality characteristics will be determined. Considering other factors conditioning quality characteristics implement, the multiple objective optimization models for quality characteristics fulfillment levels is constructed. The improved strength pareto evolutionary algorithm(NSGA-Ⅱ) was employed to acquire the Pareto solutions set. Finally, entropy optimal selection technique was adopted to choose the best solution from the Pareto solutions set. Finally, the feasibility and validity of the proposed method was illustrated.
Chapter3aims at two-dimensional limitations about components optimization and suppliers evaluation existing in the traditional optimization design methods where suppliers were involved with, a novel two-stage method consisting of multi-objective optimization and dynamic multi-attribute decision was proposed. In the first stage, multi-objective optimization model for quality, cost and delivery time was built, and Epsilon-strength Pareto evolutionary algorithm was employed to solve abovementioned model and to get finite Pareto solutions. In the second stage, Bernoulli forecasting-based fuzzy dynamic multi-attribute decision was applied to evaluate suppliers pertaining to Pareto solutions, and then the optimal supplier for each component was selected and the best product planning scheme was acquired. A case study of product development of large scale deep cooling air-separating equipment was provided to illustrate the application and validation of the proposed method through simulation and computation.
Chapter4analyzes some prevalent limitations of current product module partition, along with the features of product configuration, Fuzzy C Means, which is criticized because of clustering objective function invalidity and climb-hill method for searching solutions, is improved to plan product modular architecture. The improved Fuzzy C Means Cluster is joined with a novel algorithm, named Shuffled Frog-Leaping Algorithm, so the intelligent cluster algorithm is a combination of those two and used for product granularity division. On the base of analysis for main factors affecting configuration design, three quantified indices, namely, satisfaction degree, assembly complexity and variant design complexity, are proposed to evaluate validity for granularity division results and to decide optimal module components. Finally, a practical case is studied, so feasibility and validity can be proven.
Chapter5analyzes quality and cost control process for air separation equipment, which were affected by lots of uncertain factors hard to model precisely. To that end, set pair analysis(SPA) was adopted to build the multi-objective relative degree of nearness optimization model for quality and cost control. Evolutionary cellular learning automata algorithm was adaptively improved to solve that optimization model, and then quality and cost control alternatives set's priority ordering, basic ordering, was acquired under the relative certain condition. Considering uncertain influences, fuzzy set-valued statistics was utilized to obtain discrepancy degree coefficient Δ. So that the basic ordering was reordered in the light of relation coefficient, and the optimal product quality and cost control concept alternative was selected. At the end of this paper, large scale deep cooling air-separating equipment's quality and cost control process as a practical case was provided to illustrate the application and validation of the proposed method through simulation and computation.
Chapter6points out that air separation equipment concept evaluation is a classic multiple criteria group collaborative decision-making process with lots of uncertain factors involved. For one thing, a-cut fuzzy evaluation method was applied to evaluate each criterion of product design concept. Taking interrelations and non-linear combination between those evaluation criteria into account, a criteria aggregation model based on Choquet integral was introduced for product design concept holistic evaluation. And then, preference comparison matrices were constructed and algorithm for priority of fuzzy complementary judgment matrix was adopted, so that priority ordering for was acquired. On the other hand, aiming at cross-function experts' evaluation opinions with discrepancy, the improved evidence theory was utilized to synthesize each expert decision result of product design concepts preference sorting, and the relatively stable and harmonious decision-making result for product design concept evaluation was reached. At the end, a practical case was provided to illustrate the application and validation of the proposed method through simulation and computation.
Chapter7relies national research projects and develops the air separation equipment quality control digital information system (HY-ASEQCS). Through vivid demonstration of utilization with the graph and scripts, the validity and feasibility of the new technology and method proposed in this paper is shown.
Chapter8summarizes the key research contents, novelties, and achievements, and givens conclusions along with recommendations for future research.
论文的主要内容如下：
第一章综述了一般产品质量控制方法的内涵和发展历程,回顾了当前国内外产品质量控制方法的研究现状。描述了空分设备的产品结构和质量控制特点,阐述了空分设备质量控制的内涵和所面临的挑战。在分析了现有产品质量控制方法不足的基础之上,介绍了本课题的主要思想和研究背景,同时给出了面向空分设备关键部机质量控制的多尺度协同化智能化控制理论。
第二章分析了空分设备整机客户需求与质量特性映射过程中所具有的多重耦合性问题,提出了客户需求的模糊DEMATEL处理方法,提出了基于Shafer模糊效用推理理论的质量特性映射模型,给出了质量特性实现水平的多目标模糊表达式,进而利用非支配排序进化算法进行求解并获得多个可行的参考解。利用模糊信息熵优选原理对这些参考接进行评价来获得综合最优的质量特性实现水平从而为后续质量控制提供基础。以空分设备的客户需求处理、质量特性映射、质量特性实现水平的确定为实例,验证了方法的实用性。
第三章提出了空气压缩机零部件尺度的质量、成本、交货期控制以及供应链构建的二阶段优化方法。建立了空分设备零部件质量、成本、交货期的多目标优化模型,利用Epsilon策略来改进强度帕累托进化算法,将改进后的算法用于模型求解并得到了良好的供应备选方案。将伯努利预测模型和傅里叶修正技术了融入到多属性决策机制中,采用这一机制对供应商进行评价得出最佳的供应商和对应的高质量、低成本、交货周期短的零部件,从而实现了构建了空气压缩机零部件优化设计。上述方法在空气压缩机的具体成功应用,表明了方法的有效性。
第四章提出了基于质量准则的空气压缩机模块构建与粒度确定方法。研究以模块尺度上的质量损失最小、质量独立性最大、质量稳定性最大为模块划分的目标准则,并由此给出质量需求与空气压缩机模块的耦合变动度计算模型。利用新的模糊C均值算法对空气压缩机的模块化体系结构进行构建,利用混合青蛙跳跃算法进行求解,得到不同粒度层次下的模块化结构方案。给出了衡量客户满意度、装配复杂度以及变型设计复杂度等量化指标来对各粒度层次下的模块方案进行数学评价进而确定最优的方案和合理的粒度。最后详细分析了空气压缩机模块划分与粒度确定的实际应用案例。
第五章提出了透平膨胀机整机尺度上的质量、成本控制方法。针对透平膨胀机在配置、组装过程中需要受到很多不确定因素影响这一问题,提出了基于集对分析理论的质量、成本综合控制联系度模型。通过设计相应的编码规则和约束处理机制来改进演化细胞学自动机算法,并将改进后的算法用于求解上述模型并得到相对确定条件下的质量、成本控制方案的优劣排序关系-基序。考虑不确定因素的影响,采用随机模拟的方式对不确定环境进行模拟,通过模糊集值统计方法确定差异度进而得到透平膨胀机质量、成本控制方案的最终优劣排序-扩展序。以透平膨胀机质量、成本控制过程的数值仿真作为演示案例,证明所提方法可以为企业产品研发提供一种有效的参考。
第六章提出了基于模糊Choquet积分与证据理论的透平膨胀机质量控制方案的评价与选择方法。首先考虑透平膨胀机质量控制方案的评价信息具有模糊性、不完备性等问题,利用α-截集的模糊评价法对各质量准则进行评价；其次,考虑到透平膨胀机质量控制方案的各个质量准则具有耦合性和关联性,采用模糊Choquet积分对方案评价模型进行建模。最后,针对各个评价专家之间的意见具有冲突性,采用证据理论对各专家意见进行融合以达到协同决策的目的。以三个专家对四种透平膨胀机质量控制方案的评价和选择为例,说明上述决策模型的有效性。
第七章依托国家科研项目,结合企业的实际工程需求和本文的研究成果,开发了空分设备质量、成本控制的数字化信息系统(HY-ASEQCS)。以图文并茂的形式演示了HY-ASEQCS的应用过程和操作方法,通过具体的项目实施验证了本文所提出的理论和方法的有效性和可行性。
第八章总结了全文的主要研究内容、意义、成果以及创新点,并展望了未来的研究工作。
To deal with multi-scale, collaboration, coupling, uncertainty et.al problems in the quality control process of air separation equipment, a new multi-scale collaborative intelligent technology consisting of customer requirements, mappings between customer requirements and quality characteristics, quality characteristics fulfillments level, suppliers chain construction, module division and granule decision, quality control for each scale, quality control scheme evaluation and selection, is proposed in this dissertation. Relying on important projects supported by national basic foundation, referring to realistic application of corporation, the effeteness and validity is proved.
The main contents of this dissertation are as follows:
Chapter1gives the reviews of quality control methods for common product, which consists of development process and current research trend. The physical structure and quality control characteristics of air separation equipment are discussed, as well. Based on the deficiencies analyzed in existing method of quality control, the main ideas and research background of quality control for air separation equipment products are given. At last, a new multi-scale collaborative intelligent technology of quality control is given.
Chapter2analyzes issues existing in most traditional methods for mapping from customer requirements to quality characteristics, a novel method using a combination of multi-criteria decision models and multi-objective optimization algorithm is put forward. With the focus on influences among customer requirements, fuzzy DEMATEL method is used for determining importance ratings of customer requirements. Shafer integral is applied to aggregate relationships between requirements and quality characteristics, so importance ratings of quality characteristics will be determined. Considering other factors conditioning quality characteristics implement, the multiple objective optimization models for quality characteristics fulfillment levels is constructed. The improved strength pareto evolutionary algorithm(NSGA-Ⅱ) was employed to acquire the Pareto solutions set. Finally, entropy optimal selection technique was adopted to choose the best solution from the Pareto solutions set. Finally, the feasibility and validity of the proposed method was illustrated.
Chapter3aims at two-dimensional limitations about components optimization and suppliers evaluation existing in the traditional optimization design methods where suppliers were involved with, a novel two-stage method consisting of multi-objective optimization and dynamic multi-attribute decision was proposed. In the first stage, multi-objective optimization model for quality, cost and delivery time was built, and Epsilon-strength Pareto evolutionary algorithm was employed to solve abovementioned model and to get finite Pareto solutions. In the second stage, Bernoulli forecasting-based fuzzy dynamic multi-attribute decision was applied to evaluate suppliers pertaining to Pareto solutions, and then the optimal supplier for each component was selected and the best product planning scheme was acquired. A case study of product development of large scale deep cooling air-separating equipment was provided to illustrate the application and validation of the proposed method through simulation and computation.
Chapter4analyzes some prevalent limitations of current product module partition, along with the features of product configuration, Fuzzy C Means, which is criticized because of clustering objective function invalidity and climb-hill method for searching solutions, is improved to plan product modular architecture. The improved Fuzzy C Means Cluster is joined with a novel algorithm, named Shuffled Frog-Leaping Algorithm, so the intelligent cluster algorithm is a combination of those two and used for product granularity division. On the base of analysis for main factors affecting configuration design, three quantified indices, namely, satisfaction degree, assembly complexity and variant design complexity, are proposed to evaluate validity for granularity division results and to decide optimal module components. Finally, a practical case is studied, so feasibility and validity can be proven.
Chapter5analyzes quality and cost control process for air separation equipment, which were affected by lots of uncertain factors hard to model precisely. To that end, set pair analysis(SPA) was adopted to build the multi-objective relative degree of nearness optimization model for quality and cost control. Evolutionary cellular learning automata algorithm was adaptively improved to solve that optimization model, and then quality and cost control alternatives set's priority ordering, basic ordering, was acquired under the relative certain condition. Considering uncertain influences, fuzzy set-valued statistics was utilized to obtain discrepancy degree coefficient Δ. So that the basic ordering was reordered in the light of relation coefficient, and the optimal product quality and cost control concept alternative was selected. At the end of this paper, large scale deep cooling air-separating equipment's quality and cost control process as a practical case was provided to illustrate the application and validation of the proposed method through simulation and computation.
Chapter6points out that air separation equipment concept evaluation is a classic multiple criteria group collaborative decision-making process with lots of uncertain factors involved. For one thing, a-cut fuzzy evaluation method was applied to evaluate each criterion of product design concept. Taking interrelations and non-linear combination between those evaluation criteria into account, a criteria aggregation model based on Choquet integral was introduced for product design concept holistic evaluation. And then, preference comparison matrices were constructed and algorithm for priority of fuzzy complementary judgment matrix was adopted, so that priority ordering for was acquired. On the other hand, aiming at cross-function experts' evaluation opinions with discrepancy, the improved evidence theory was utilized to synthesize each expert decision result of product design concepts preference sorting, and the relatively stable and harmonious decision-making result for product design concept evaluation was reached. At the end, a practical case was provided to illustrate the application and validation of the proposed method through simulation and computation.
Chapter7relies national research projects and develops the air separation equipment quality control digital information system (HY-ASEQCS). Through vivid demonstration of utilization with the graph and scripts, the validity and feasibility of the new technology and method proposed in this paper is shown.
Chapter8summarizes the key research contents, novelties, and achievements, and givens conclusions along with recommendations for future research.
引文
[毛绍融2005]毛绍融,朱朔元,周智勇.现代空分装备技术与操作原理[M].杭州：杭州出版社,2005.
[毛绍融2008]毛绍融,朱朔元,周智勇,卢杰.大型空分设计技术现状与进展[J].宝钢自主集成国产化六万等级空分论文集,2008：30-35.
[Juran 1999] Juran J M, Godfrey A B. Quality control handbook[M]. McGraw-Hill.1999.
[高琦1997]高琦,吴昭同.保质设计(DFQ)—一种新的设计思想[J],工程设计,1997,32(7)：1881-1896.
[Shewhart 1931]Shewhart W.A., Economic Control of Quality of Manufactured Produet, D.Van Nostrand Company Ine., Prineeton, NJ,1931.
[余忠华2000]余忠华,张芳霁,高琦,吴建琳,吴昭同.保质设计模式与体系结构的研究究[J].中国机械工程.2000；16(19)：1743-1746.
[Swift 1992] Swift K G, Allen A J. T echniques in Design for Quality and Manufacture. Journal of Engineering Design,1992,3(1):81-91.
[Morup 1992] Morup M. A new design for quality paradigm[J]. Journal of Engineering Design. 1992;3(1):63-80.
[克劳斯比2002]克劳斯比.质量无泪[M].北京：中国财政经济出版社.2002.
[费根堡姆兰1984]费根堡姆兰.全面质量管理[M].北京：中国发展出版社.1981.
[徐显龙2007]徐显龙,同淑荣.设计决策支持的制造质量信息模型[J].制造业自动化,2007,(12)：1743-1746.
[段桂江2005]段桂江,唐晓青.保质设计的集成化过程与方法模型研究[J].中国机械工程.2005；16(19)：1743-1746.
[姜兴宇2008]姜兴宇,王贵和,张新敏,赵颖等.面向全生命周期的产品质量综合评价方法研究[J].系统仿真学报.2008；20(20)：5581-5584.
[余忠华2001]余忠华.保质设计中的质量评价研究[J].计算机集成制造系统.2001；7(6)：65-68.
[何益海2006]何益海.基于关键质量特性的产品保质设计研究[D].北京：北京航空航天大学博士学位论文,2006.
[赵喜2009]赵喜.复杂机电产品制造过程关键质量特性控制技术研究[D].重庆：重庆大学硕士学位论文,2009.
[何益海2007]何益海,唐晓青.基于关键质量特性的产品保质设计[J].航空学报2007；28(6)：1468-1481.
[Mahdavi 2008] A. Mahdavil, H. Hoekstra, A. Babul, J. P. Henry. Evidence for non-hydrostatic gas from the cluster X-ray to lensing mass ratio[J]. Astronomy & Astrophysics,2008,384(4):1567-1574.
[Booker 2003] Booker J D. Industrial practice in design for quality[J]. International Journal of Quality and Reliability Manage.
[Thornton 1997]Thornton A. Using key characteristics to balance cost and quality during proudct development[C]. Proceeding of Research Society, London, Sacramento.1997:14-27.
[乔杜里2003]乔杜里.六西格玛设计：实现六西格玛的惟一途径[M].北京：机械工业出版社,2003.
[FUNG 2005] FUNG R Y K, CHEN Y Z, TANG J F. A fuzzy expect value-based goal programming for product planning using quality function deployment[J] Engineer Optimization,2005,37(6):633-647.
[苏强2000]苏强,陈剑.基于IS09000与Baldrige的质量管理体系诊断与改进[J].清华大学学报.2000；40(2)：122-126.
[陈立周2000]陈立周.稳健设计[M].北京：机械工业出版社.2000.
[卓德保2005]卓德保,徐济超.面向过程改进的诊断性质量评价[M].北京：机械工业出版社.2005.
[Arunajadai 2002] Arunajadai S G., Scott J. U, Stone R B,. Tume I Y. Failure mode identification through clustering analysis[C].//Proceedings of DETC'02 ASME 2002 Design Engineering Technical Conference and Computers and Information in Engineering Conference Montreal, Canada,,2002: 511-526.
[徐波2004]徐波,于劲松,李行善.复杂系统的智能故障诊断[J].信息与控制,2004；33(1)：56-60.
[李文强2008]李文强,孙文磊,熊艳.多层次可拓物元基因概念设计方法的研究[J].计算机应用研究,2008,25(2)：414-：416.
[刘明周2004]刘明周郭嘉李旗号.机械产品精密配合中的选配方法研究[J].机械工程学报,2004,40(6)：165-168.
[刘春涛2006]刘春涛,林志航.基于响应面和支持向量机的产品健壮设计方法[J].计算机辅助设计与图形学学报,2006,18(8)：1174-1178.
[黄广龙2002]黄广龙.保质设计中方案评价方法及其关键技术的研究[D].浙江大学,2002.
[Arunajadai 2004] Arunajadai S G., Scott J. U, Stone R B,. Tume I Y. A framework for creating a function-based design tool for failure mode identification[J]. Failure Mode Identification through Clustering Analysis,20(5):511-526.
[Hubka 1992] Hubka V. Design for quality and design methodology [J]. Journal of Engineering Design,. 1992;3(1):5-15.
[Moczulsky 1998] Moczulsky etc. Method-Specific Knowledge Compilation:Towards Practical Design Support System[J]. Artificial Intelligence in Design.1998:427-444.
[冯毅雄2008]冯毅雄,谭建荣,李中凯.基于多目标遗传优化的注射成型机性能设计.计算机集成制造系统,2008,14(6)：1057-1062.
[李中凯2009]李中凯.产品族可重构设计理论与方法及其在大型空分设备中应用研究[D].杭州：浙江大学博士学位论文.2009.
[孙毅2007]孙毅.基于数据挖掘与知识重用的质量过程控制关键技术研究[D].杭州：浙江大学博士学位论文.2007.
[魏喆2009]魏喆.性能驱动的复杂机电产品设计理论和方法及其在大型注塑装备中的应用[D].杭州：浙江大学博士学位论文.2009.
[谭建荣2007]谭建荣,冯毅雄.设计知识建模、演化与应用[M].北京：国防工业出版社.2007.
[魏巍2010]魏巍.定制产品智能重组设计关键技术与方法研究及其应用[D].杭州：浙江大学博士学位论文.2010.
[谭建荣1998a]谭建荣,张树友,魏修亭.产品装配信息概念模型及自组织映射方法.中国机械工程,1998,9(5)：66-69.
[龚勋2011]龚勋,冯毅雄,谭建荣.基于空间结构隐马尔可夫模型的故障诊断[J].计算机集成制造系统.(已录用)
[谭建荣1998b]谭建荣.递归化产品信息集成建模技术.机电工程,1998,15(1)：9-11.
[李中凯2008]李中凯,谭建荣,冯毅雄,方辉.基于拥挤距离排序的多目标粒子群优化算法及其应用[J].计算机集成制造系统.2008；14(7)：1329-1336.
[楼健人2005]楼健人.产品可拓配置变型与进化设计技术研究[D].杭州：浙江大学博士学位论文, 2005.
[谢清2007]谢清.定制产品功能—结构映射原理、方法及关键技术研究.博士学位论文.杭州：浙江大学,2007.
[丁力平2010]丁力平.面向质量特性的定制产品稳健设计技术及其应用研究[D].杭州：浙江大学博士学位论文,2010.
[秦现生2002]秦现生,质量管理学(第二版)[M].北京：科学出版社,2002：153-155.
[Karsak 2002] Karsak E E, Sover S, Alpteki S E. Product planning in quality function deployment using a combined analytic network process and goal programming approach[J]. Computers & Industrial Engineering,2002,44 (1):171-190.
[王美清2004]王美清,唐晓青.产品设计中的用户需求与产品质量特征映射方法研究[J].机械工程学报,2004,40(5)：136-140.
[Masud 1993] Masud A S M, Dean E B. Using fuzzy sets in quality function deployment[C]//Proceedings of the 2nd Industrial Engineering Research Conference, Norcross, GA, USA:IIE,1993:270-274.
[许多2004]许多,严洪森.基于模糊度量质量屋的产品特征映射及分析[J].计算机集成制造系统,2004,10(6)：693-698.]
[Chen 2006] Chen L H, Weng M C. An evaluation approach to engineering design in QFD processes using fuzzy goal programming models[J]. European Journal of Operational Research,2006,172(1): 230-248.
[任朝晖2007]任朝晖,宋乃慧,李小彭,等.质量功能配置方法中模糊信息建模[J].机械工程学报,2007,43(5)：64-68.
[杨明顺2006]杨明顺,李言,林志航.顾客需求向技术特征映射的产品设计规划求解[J].计算机集成制造系统,2006,12(6)：853-856.
[李延来2008a]李延来,唐加福,姚建明,等.基于粗糙集理论的质量屋中工程特性确定方法[J].计算机集成制造系统,2008,14(2)：386-392.
[李延来2008b]李廷来,唐加福,姚建明,等.质量功能展开中选择工程特性的多目标决策方法[J].计算机集成制造系统,2008,14(7)：1363-1369.]
[Chin 2008] Chin K S, Wang Y M, Yang Jianbo, et al. An evidential reasoning based approach for quality function deployment under uncertainty[J]. Expert Systems with Applications,2008,36(3): 5684-5694.
[方辉2009]方辉,谭建荣,殷国富,等.基于灰理论的质量屋用户需求分析方法研究[J].计算机集成制造系统,2009,15(3)：576-585.]
[李延来2009]李延来,唐加福,姚建明,等.质量屋构建的研究进展[J].机械工程学报,2009,45(3)：57-70.]
[Lin 2008]Lin Chijen, WU Weiwen. A causal analytical method for group decision-making under fuzzy environment[J]. Expert Systems with Applications,2008,34 (1):205-213.
[HO 2011]HO W R, Tan J R, TZENG G H, et al. Combined DEMATEL technique with a novel MCDM model for exploring portfolio selection based on CAPM[J]. Expert Systems with Applications(已录用)
[周德群2008]周德群,章玲.集成DEMATEL/ISM的复杂系统层次划分研究[J].管理科学学报,2008,11(2)：20-26.
[黄景文2007]黄景文,丁永生.电子校务的风险因素分析[J].电子科技大学学报,2007,36(6)： 1370-1373.
[Yang 2006] Yang J B, Wang Y M, Xu D L, Chin K S. The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties. European Journal of Operational Research,2006,171(1), 309-343.
[李洪兴1993]李洪兴,汪培庄.模糊数学[M].国防工业出版社,1993.
[Xu 2006]Xu D L, Yang J B, Wang Y M. The evidential reasoning approach for multi-attribute decision analysis under interval uncertainty. European Journal of Operational Research,2006,174(1), 1914-1943.
[Deb 2002]Deb K, PRATAP A, AGARWAL S. A fast and elitist multi-objective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation.2002,6(2):182-197.
[Stone 2000] Stone R B, Wood K L, CRAWFORD R H A. A heuristic method for identifying modules for product architectures[J]. Design Studies,2000,21(1):5-31.
[Gu 1999]Gu P, SOSAL E S. Product modularization for life engineering[J]. Robotics and Computer Integrated Manufacturing,1999,15(5):387-401.
[丁力平2008]丁力平,谭建荣,冯毅雄,等.基于解析结构模型的产品模块构建及其优化[J].计算机集成制造系统,2008,14(6)：1070-1077.
[王海军2003]王海军,孙宝元,魏小鹏.基于模糊聚类的产品模块化形成过程分析[J].计算机集成制造系统,2003,12(9)：123-126.
[汪文旦2007]汪文旦,秦现生,阎秀天,白晶.一种可视化设计结构矩阵的产品设计模块化识别方法[J].计算机集成制造系统,2007,13(12)：2345-2350.
[王爱民2003]王爱民,孟明辰,黄靖远.基于设计结构矩阵的模块化产品族设计方法研究[J].计算机集成制造系统,2003,9(3)：214-219.
[王海军2004]王海军,孙宝元,王吉军.面向大规模定制的产品模块化设计方法[J].计算机集成制造系统,2004,10(10)：1171-1176.
[谢清2006]谢清,谭建荣,冯毅雄,等.面向配置设计的产品功构单元粒度划分方法[J].机械工程学报,2006,42(11)：109-114.]
[Bezdeck 1984] Bezdeck J C, EHRLICH R, FULL W. FCM:Fuzzy C-means algorithm[J]. Computers and Geoscience,1984,10(1-3):191-203.
[Zhang 2008] Zhang Yunjie, WANG Weina, ZHANG Xiaona, et al. A cluster validity index for fuzzy clustering[J]. Information Sciences,2008,178(4):1205-1218.
[Kim 2004]Kim D W, LEE K H, LEE D. On cluster validity index for estimation of the optimal number of fuzzy clusters[J]. Pattern Recognition,2004,37(10):2009-2025.
[Eusuff 2000] Eusuff M.M, Lansey K E. Shuffled frog leaping algorithm:amemetic meta-heuristic for combinatorial optimation [M]. J.Heuristics, in press,2000.
[Eusuff 2003] Eusuff M M, Lansey K E.Optimization of water distribution network design using the shuffled frog leaping algorithm[J].ASCE,2003,129:3(210).
[Nam 2000]Nam P S, SUNG H D. Axiomatic design of software system[J]. Annals of the CIRP,2000,49(1): 95-100.
[Jiao 2004] Jiao Jianxin, TSENG Mitchell M. Customizability analysis in design for mass customization[J]. Computer-Aided Design,2004,36(8):745-757.
[朱光宇2009]朱光宇.模因内三角概率选择混合蛙跳算法[J].计算机集成制造系统,2009,15(10)：1979-1985.
[潘全科2007]潘全科,王文宏,朱剑英.解决无等待流水车间调度问题的离散粒子群优化算法[J].计算机集成制造系统,2007,13(6)：1127-1130.
[潘玉霞2010]潘玉霞,潘全科,桑红燕.批量流水线调度问题的混合离散蛙跳算法[J].计算机集成制造系统,2010,16(6)：1265-1271.
[谭建荣2007]谭建荣,冯毅雄.设计知识建模、演化与应用[M].北京：国防工业出版社,2007.
[侯亮2007]侯亮,韩东辉,温志嘉.面向新产品协同开发的供应商规划与选择[J].机械工程学报,2007,43(5)：50-56.
[李昕2003]李昕,吴澄,刘连臣.行业性电子商务平台下的供应商选择问题研究[J].计算机集成制造系统,2003,9(4)：270-275.
[胡仕成2003]胡仕成,徐晓飞,焦晓霞,等.基于BOM的质量-成本优化控制模式[J].计算机集成制造系统,2003,9(4)：314-319.
[Ni 2007]Ni M., XU X., DENG S. Extended QFD and data-mining-based methods for supplier selection in mass customization[J]. International Journal of Computer Integrated Manufacturing,2007,20(2-3), 280-291.
[Rezaei 2008] JAFAR Rezaei, MANSOOR Davoodi. A deterministic, multi-item inventory model with supplier selection and imperfect quality[J]. Applied Mathematical Modelling,2008,32(10): 2106-2116.
[Balakrishnan 2008] Balakrishnan N, Chakravarty A K. Product design with multiple suppliers for component variants[J]. International Journal of Production Economics,112(2),2008,723-741.
[Dash 2010] Dash Desheng, ZHANG Yidong, WU Dexiang. Fuzzy multi-objective programming for supplier selection and risk modeling:A possibility approach[J]. European Journal of Operational Research,2010,200(3),774-787.
[董景峰2007]董景峰,王刚,吕民,等.基于改进蚁群算法的多供应商选择问题求解[J].计算机集成制造系统,2007,13(8)：1639-1644.
[焦明海2008]焦明海,唐加福,牟立峰,等.基于改进粒子群算法的供应商参与可靠性设计优化[J].机械工程学报,2008,44(12)：123-130.
[唐加福2005]唐加福,张艳娥,陈以增.供应商参与下的产品部件设计方案选择模型[J].计算机集成制造系统,2005,11(5)：619-624.
[褚学宁2007]褚学宁,张在房,刘航.供应商参与的水平定向钻机整机设计方案决策研究[J].计算机集成制造系统,2007,13(6)：1047-1053.
[Zitzler 2000] Zitzler E, Deb K, Thiele L. Comparison of multi-objective evolutionary algorithms:empirical results[J]. IEEE Transactions on Evolutionary Computation,2000,18(2):173-195.
[Zitzler 2001] Zitzler E, Laumanns M, Thiele L. SPEA2:Improving the strength Pareto evolutionary algorithm[R], Swiss Federal Institute of Technology. Tech. Rep.:103,2001.
[Zitzler 2006] Zitzler E. SPEA2:Improving the strength Pareto evolutionary algorithm for multi-objective optimization[C]//Proc. Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, EUROGEN 2006,2001:95-100.
[郑漳华2008]郑漳华,艾芊,徐伟华,等.基于伪并行SPEA2算法的多目标鲁棒PID优化设计[J].系统仿真学报,2008,20(12)：3155.3159.
[丁胜祥2008]丁胜祥,董增川,王德智,等.基于Pareto强度进化算法的供水库群多目标优化调度[J].水科学进展,2008,19(5)：679-684.
[王钧2007]王钧,李军,景宁,等.基于约束满足的多目标对地观测卫星成像调度[J].国防科技大学学报,2007,29(4)：66-71.
[王石2008]王石,戴金海.用改进的SPEA求解轨道转移的时间-能量极小化问题[J].天文学报,2008,44(2)：197：203.
[魏巍2009]魏巍,谭建荣,冯毅雄,等.基于SPEA2+的产品族模块单元多目标规划方法[J].机械工程学报,2009,45(12)：143-150.
[程锦2010]程锦,谭建荣,魏巍.基于变粒度的注塑模流道多目标优化设计[J].机械工程学报,2010,46(6)：170-175.
[SONGA 2010] SONGA Zhe, KUSIAK Andrew. Mining Pareto-optimal modules for delayed product differentiation[J]. European Journal of Operational Research,2010,201(1):123-128.
[刘鎏2008]刘鎏,李敏强,林丹.基于ε-支配的多目标进化算法及自适应ε调整策略[J].计算机学报,2008,31(7)：1063-1072.
[姚金涛2005]姚金涛,林亚平,张明武,等.一种基于决策图贝叶斯网络的强度Pareto进化算法[J].计算机学报,2005,28(12)：1993-1999.
[张敏2009]张敏,罗文坚,王煦法.一种基于正态分布交叉的ε-MOEA[J]软件学报,2009,20(2)：305-314.
[王勇2009]王勇,蔡自兴,周育人,等.约束优化进化算法[J].软件学报,2009,20(1)：11-29.
[Woldesenbet 2009] Woldesenbet Y G, Yen G G, Tessema B G. Constraint handling in multi-objective evolutionary optimization[J], IEEE Transactions on Evolutionary Computation,2009,13(3): 514-525.
[Ho 2010]Ho William, Xiaowei Xu, Prasanta K. Dey Multi-criteria decision making approaches for supplier evaluation and selection:A literature review European Journal of Operational Research,2010, 202(1):16-24
[邓聚龙2002]邓聚龙.灰理论基础[M].武汉：华中科技大学出版社,2002.
[邓聚龙1997]邓聚龙,郭洪.灰预测原理与应用[M].台北：全华科技图书,1997.
[于德介2007]于德介,臧献国,刘坚,李德刚.基于灰色理论的设计状态预测[J].湖南大学学报(自然科学版),2007,34(11)：33-36.
[Hsu 2010]Hsu L C. A genetic algorithm based nonlinear grey Bernoulli model for output forecasting in integrated circuit industry[J], Expert Systems with Applications,2010,37(6),4318-4323
[Lin 2002]Lin C T, Lee I F. Artificial intelligence diagnosis algorithm for expanding a precision expert forecasting system[J], Expert Systems with Applications,2009,36(4),8385-8390.
[Hsu 2009]Hsu Y T, LIU M C, YEH J, et al. Forecasting the turning time of stock market based on Markov-Fourier grey model[J], Expert Systems with Applications,2009,36(4),8597-8603.
[Kayacan 2010] Kayacan E, Ulutas B, Kaynak O. Grey system theory-based models in time series prediction[J], Expert Systems with Applications,2010,37(2),1784-1789.
[Opricovic 2010] Opricovic S, Tzeng G H. Compromise solution by MCDM methods:a comparative analysis of VIKOR and TOPSIS[J]. European Journal of Operational Research,2004,156 (2):445-455.
[苏志欣2010]苏志欣,王理,夏国平,等.一种基于改进VIKOR的土石方调配两阶段优化方法[J].北京理工大学学报,2010,30(3)：369-373.
[曹生荣2003]曹生荣,王先甲,申明亮.大型水电工程土石方调配系统分析及其优化调配模型[J].中 国工程科学,2003,5(7)：72-76.
[姜晓鹏2007]姜晓鹏.可重构制造系统性能综合评价研究[D].西安：西北工业大学博士学位论文,2007.
[新藤久和1998]新藤久和.实践QFD的活用——日本质量机能展开研究会10年成果.东京：日科技联出版社,1998.
[熊诗波2000]熊诗波.大型复杂机械系统的状态监测和故障诊断[J].振动、测试与诊断,2000,4,233-235.
[熊伟2005]熊伟.质量机能展开[M].北京：化学工业出版社,2005：16-20.
[徐忠1990]徐忠.离心式压缩机原理[M].北京：机械工业出版社,1990.
[张根保2002]张根保,王化培.可重构机床及其关键技术[J].制造技术与机床,2002,(5)：22-24.
[张志红2008]张志红,何桢,郭伟.望目特性稳健参数设计优化标准的构建[J].机械工程学报,2008,44(4)：133-137.
[蒋建东2006]蒋建东,叶永伟,张宪,张立彬.基于CBR小型农业作业机的可重构设计[J].农业机械学报,2006,37(6)：32-35.
[金欣磊2007]金欣磊,马龙华,刘波,钱积新.基于动态交换策略的快速多目标粒子群优化算法研究[J].电路与系统学报,2007,12(2)：78-82.
[李建勇2000]李建勇,鄂明成,查建中.制造系统鲁棒性的设计与优化[J].北方交通大学学报,2000,24(4)：43-47.
[胡仕成2003]胡仕成,徐晓飞,焦晓霞,等.基于BOM的质量-成本优化控制模式[J].计算机集成制造系统,2003,9(4)：314-319.
[赵克勤2000]赵克勤.集对分析及其初步应用[M].杭州：浙江科学技术出版社,2000.
[金华征2005]金华征,程浩忠,曾德君,等.基于集对分析的柔性电网规划方法[J].中国电机工程学报,2005,25(3)：7-12.
[胡波2007]胡波,王汝传,王海艳.基于集对分析的P2P网络安全中的信誉度改进算法[J].电子学报,2007,35(2)：244-247.
[张斌1997]张斌,赵秀海,李义.基于集对分析的多属性决策及其稳定性分析[J].吉林林学院学报,1997,13(4)：232-235.
[孟宪萌2009]孟宪萌,胡和平.基于熵权的集对分析模型在水质综合评价中的应用[J].水利学报,2009,40(3)：257-262.
[朱兵2008]朱兵,王文圣,王红芳,等.集对分析中差异不确定系数i的探讨.四川大学学报：工程科学版,2008,40(1)：5-9.
[杨俊杰2008]杨俊杰,周建中,方仍存,等.基于集对分析的不确定多属性决策方法[J].控制与决策,2008,23(12)：1423-1426.]
[孙晋众2009]孙晋众,陈世权.一种基于模糊集值统计的集对预测方法[J].模糊系统与数学,2009,23(3)：56-60.
[Wolfram 1994] S Wolfram, Cellular Automata and Complexity[M], Perseus Books Group,1994.
[Narendra 1989] K. S. Narendra, M. A. L. Thathachar, Learning Automata:An Introduction [M], Printice-Hall Inc,1989.
[Hariri 2005] A. Hariri, R. Rastegar, M. R. Meybodi. Cellular Learning Automata based Evolutionary Computing (CLA-EC) for Intrinsic Hardware Evolution[C]. IEEE,2005, Proceedings of the 2005 NASA/DoD Conference of Evolution Hardware (EH'05) 0-7695-2399-4/05.
[Beigy 2004] H Beigy, M. R. Meybodi, A Mathematical Framework for Cellular Learning Automata [J], 2004, Advances on Complex Systems,7(3-4):295-320.
[Deb 2000]Deb K. An efficient constraint handling method for genetic algorithms[J]. Computer Methods in Applied Mechanics and Engineering,2000,186:311-338.
[Thurston 1992] Thurston D. L, and Carnahan J. V. Fuzzy ratings and utility analysis in preliminary design evaluation of multiple attributes[J], Journal of Mechanical Design,1992,114(4):648-658.
[周庆忠2001]周庆忠,曾慧娥.机械产品设计方案的灰色模糊综合评价[J].机械设计与制造,2001,38(3)：6-8.
[张雪平2005]张雪平,殷国富.基于层次灰色关联的产品绿色度评价研究[J].中国电机工程学报,2005,25(17)：78-82.
[Ayag 2009] Ayag Z., Ozdemir R.G.. A hybrid approach to concept selection through fuzzy analytic network process[J], Computers & Industrial Engineering,2009,56(1):368-379.
[ZHAI 2009] ZHAI L Y, KHOO L P, ZHONG Z W. Design concept evaluation in product development using rough sets and grey relation analysis[J]. Expert Systems with Applications,2009,36(3),7072-7079.
[胡良明2007]胡良明,徐诚,方峻.CBR技术在枪械方案设计专家系统中的应用[J].系统仿真学报,2007,19(4)：772-775.
[HUANG 2006] HUANG Hong-zhong, BO Rui-feng, CHEN Wei. An integrated computational intelligence approach to product concept generation and evaluation[J]. Mechanism and Machine Theory,2006, 41(5):567-583.
[古莹奎2007]古莹奎,杨振宇.概念设计方案评价的模糊多准则决策模型[J].计算机集成制造系统,2007,13(8)：1504-1510.
[方辉2009]方辉,殷国富,李中凯,等.基于改进不确定语言多属性决策的设计方案评价[J].计算机集成制造系,2009,15(7)：1257-1261.
[GENG 2010] GENG Xiuli, CHU Xuening, ZHANG Zaifang. A new integrated design concept evaluation approach based on vague sets[J], Expert Systems with Applications,2010,37(9):6629-6638.
[邓军2009]邓军,余忠华,吴昭同.基于信息熵的概念设计的质量评价[J].浙江大学学报(工学版),2009,43(8)：1480-1484.
[MUROFUSHI 1991] MUROFUSHI T, SUGENO M. A theory of fuzzy measures, representation, the Choquet integral and null sets[J], Journal of Mathematical Analysis and Applications,1991,159(2): 532-549.
[张朝勇2007]张朝勇,王卓甫,邢会歌.基于Choquet模糊积分的工程投标风险评估方法[J].土木工程学报,2007,40(10)：98-104.
[王继奎2009]王继奎.基于模糊积分的客户满意度综合评价算法设计[J].甘肃科学学报,2009,21(1)：101-104.
[丁莹2010]丁莹,李文辉,范静涛,等.基于Choquet模糊积分的运动目标检测算法[J].电子学报,2010,38(2)：263-268.
[GRABISCH 1997] GRABISCH M.k-order additive discrete fuzzy measures and their representation[J]. Fuzzy Sets and Systems,1997,92(2):167-189.
[MARICHAL 2002] MARICHAL J L. Entropy of discrete Choquet capacities[J]. European Journal of Operational Research,2002,137(3):612-624.
[章玲2008]章玲,周德群.基于κ-可加模糊测度的多属性决策分析[J].管理科学学报,2008,11(6)： 18-24.
[Shapley 1994] L. S. Shapley, Martin Shubik. A Method for Evaluating the Distribution of Power in a Committee System[J]. American Political Science Association,1994,48(3),787-792.
[许永平2009]许永平,石福丽,杨峰,等.基于模糊积分的潜艇作战能力评估方法[J].计算机仿真,2009,26(9)：19-23.
[SAAD 2008] SAAD Ihsen, HAMMADI Slim, BENREJEB Mohamed, et al. Choquet integral for criteria aggregation in the flexible job-shop scheduling problems[J]. Mathematics and Computers in Simulation,2008,76(5-6):447-462.
[BUYUKOZKAN 2010] BUYUKOZKAN G, RUAN D. Choquet integral based aggregation approach to software development risk assessment[J], Information Sciences,2010,180(3):441-451.
[卢建昌2008]卢建昌,韩红领,刘天宝,等.基于模糊积分的电力客户满意度综合评价[J].电网技术,2008,32(1)：67-70.
[TSENG 2009] TSENG M L, CHIANG J H, Lawrence W. Lan. Selection of optimal supplier in supply chain management strategy with analytic network process and Choquet integral[J]. Computers & Industrial Engineering,2009,57(1):330-340.
[谭春桥2010]谭春桥,陈晓红.基于Choquet延拓n人模糊对策的Shapley值[J].管理科学学报,2010,,13(2)：24-32.
[尹彦2009]尹彦,赵涛,齐莉丽.基于Choquet积分的知识管理绩效评价[J].现代管理科学,2009,9：78-80.
[凌静2009]凌静,徐立中,石爱业,等.一种基于Choquet模糊积分小波系数选择的遥感图像融合方法[J].遥感学报,2009,13(2)：263-268.
[于学军2007]于学军,罗振璧,朱立强.公理设计中确定交互作用程度的方法[J].机械工程学报,2007,43(4)：39-52.
[ZHANG 2009] ZHANG Dongfeng, ZHANG Jinlong, LAI K, et al. An novel approach to supplier selection based on vague sets group decision[J], Expert Systems with Applications,2009,36(5):9557-9563.
[徐泽水2001]徐泽水.模糊互补判断矩阵排序的一种算法[J].系统工程学报,2001,16(4)：311-314.
[SHAFER 1976] SHAFER G. A mathematical theory of evidence[M]. Princeton University Press, Princeton, N.J.,1976.
[吕文红2005]吕文红,吴祈宗,郭银景.基于D-S证据理论的群决策专家意见集结方法[J].运筹与管理,2005,14(2)：10-25.
[WU 2009]WU (Dash) Desheng. Supplier selection in a fuzzy group setting:A method using grey related analysis and Dempster-Shafer theory[J], Expert Systems with Applications,2009,36(5):8892-8899.
[Tanino 1984] Tanino, T. Fuzzy preference orderings in group decision making. Fuzzy Sets and Systems, 1984,12,117-131.
[Tanino 1990] Tanino, T. O. On group decision making under fuzzy preferences. In J.Kacprzyk & M. Fedrizzi (Eds.), Multiperson decision making using fuzzy sets and possibility theory,1990, Dordrecht, MA:Kluwer Academic Publishers.
[FU 2010]FU Chao, YANG Shanlin. The group consensus based evidential reasoning approach for multiple attributive group decision analysis[J], European Journal of Operational Research,2010,206(3): 601-608.
[高飞2004]高飞.面向大批量定制的产品设计方法学研究[D].杭州：浙江大学博士学位论文,2004.
[侯亮2004]侯亮,唐任仲,徐燕申.产品模块化设计理论、技术与应用研究进展[J].机械工程学报, 2004,40(1)：56-61.
[贾延林1993]贾延林.模块化设计[M].北京：机械工业出版社,1993.
[李树军2004]李树军,张艳丽,赵明扬.可重构模块化机器人模块及构形设计[J].东北大学学报(自然科学版),2004,25(1)：78-81.
[刘长福2006]刘长福,邓明.航空发动机结构分析[M].西安：西北工业大学出版社,2006.
[刘夫云2005]刘夫云,杨青海,祁国宁,黄哲人.基于复杂网络的产品族零部件通用性分析方法[J].机械工程学报,2005,41(11)：75-79.
[刘思峰2004]刘思峰,党耀国,方志耕,等.灰色系统理论及其应用[M].北京：科学出版社,2004.
[吕挺锋2007]吕挺锋.大型化工型内压缩流程空分设备新工艺的研制与发展[J].杭氧科技,2007,(2)：1-5.
[罗振璧2000]罗振璧,盛佰浩,赵晓波.快速重组制造系统[J].中国机械工程,2000,11(3)：300-303.
[罗振璧2004]罗振璧,于学军,刘阶萍等.可重构性和可重构设计理论[J].清华大学学报(自然科学版),2004,44(5)：577-580.
[史铁林2003]史铁林,陈勇辉,李巍华,熊良才,廖广兰.提高大型复杂机电系统故障诊断质量的几种新方法[J].机械工程学报,2003,16(9)：1-10.
[祁国宁2003]祁国宁,顾新建,谭建荣.大批量定制技术及其应用[M].北京：机械工业出版社,2003.
[秦红斌2006]秦红斌.基于公共产品平台的产品族设计技术研究[D].武汉：华中科技大学博士学位论文,2006.
[苏变萍2007]苏变萍,曹艳平,王婷.多因素多时间序列的灰色预测模型[J].西安建筑科技大学学报(自然科学版),2007,39(2)：289-292.
[唐涛2003]唐涛,刘志峰,刘光复等.绿色模块化设计方法研究[J].机械工程学报,2003,39(11)：149-154.
[吴扬东2008]吴扬东.面向机械产品族的稳健设计技术研究[D].杭州：浙江大学博士学位论文,2008.
[肖新平2005]肖新平,宋中民,李峰.灰技术基础及其应用[J].北京：科学出版社,2005：26-50.
[朱斌2006]朱斌,江平宇.面向产品族的设计方法学[J].机械工程学报,2006,42(3)：1-8.
[毛绍融2008]毛绍融,朱朔元,周智勇,卢杰.大型空分设计技术现状与进展[J].宝钢自主集成国产化六万等级空分论文集,2008：30-35.
[Juran 1999] Juran J M, Godfrey A B. Quality control handbook[M]. McGraw-Hill.1999.
[高琦1997]高琦,吴昭同.保质设计(DFQ)—一种新的设计思想[J],工程设计,1997,32(7)：1881-1896.
[Shewhart 1931]Shewhart W.A., Economic Control of Quality of Manufactured Produet, D.Van Nostrand Company Ine., Prineeton, NJ,1931.
[余忠华2000]余忠华,张芳霁,高琦,吴建琳,吴昭同.保质设计模式与体系结构的研究究[J].中国机械工程.2000；16(19)：1743-1746.
[Swift 1992] Swift K G, Allen A J. T echniques in Design for Quality and Manufacture. Journal of Engineering Design,1992,3(1):81-91.
[Morup 1992] Morup M. A new design for quality paradigm[J]. Journal of Engineering Design. 1992;3(1):63-80.
[克劳斯比2002]克劳斯比.质量无泪[M].北京：中国财政经济出版社.2002.
[费根堡姆兰1984]费根堡姆兰.全面质量管理[M].北京：中国发展出版社.1981.
[徐显龙2007]徐显龙,同淑荣.设计决策支持的制造质量信息模型[J].制造业自动化,2007,(12)：1743-1746.
[段桂江2005]段桂江,唐晓青.保质设计的集成化过程与方法模型研究[J].中国机械工程.2005；16(19)：1743-1746.
[姜兴宇2008]姜兴宇,王贵和,张新敏,赵颖等.面向全生命周期的产品质量综合评价方法研究[J].系统仿真学报.2008；20(20)：5581-5584.
[余忠华2001]余忠华.保质设计中的质量评价研究[J].计算机集成制造系统.2001；7(6)：65-68.
[何益海2006]何益海.基于关键质量特性的产品保质设计研究[D].北京：北京航空航天大学博士学位论文,2006.
[赵喜2009]赵喜.复杂机电产品制造过程关键质量特性控制技术研究[D].重庆：重庆大学硕士学位论文,2009.
[何益海2007]何益海,唐晓青.基于关键质量特性的产品保质设计[J].航空学报2007；28(6)：1468-1481.
[Mahdavi 2008] A. Mahdavil, H. Hoekstra, A. Babul, J. P. Henry. Evidence for non-hydrostatic gas from the cluster X-ray to lensing mass ratio[J]. Astronomy & Astrophysics,2008,384(4):1567-1574.
[Booker 2003] Booker J D. Industrial practice in design for quality[J]. International Journal of Quality and Reliability Manage.
[Thornton 1997]Thornton A. Using key characteristics to balance cost and quality during proudct development[C]. Proceeding of Research Society, London, Sacramento.1997:14-27.
[乔杜里2003]乔杜里.六西格玛设计：实现六西格玛的惟一途径[M].北京：机械工业出版社,2003.
[FUNG 2005] FUNG R Y K, CHEN Y Z, TANG J F. A fuzzy expect value-based goal programming for product planning using quality function deployment[J] Engineer Optimization,2005,37(6):633-647.
[苏强2000]苏强,陈剑.基于IS09000与Baldrige的质量管理体系诊断与改进[J].清华大学学报.2000；40(2)：122-126.
[陈立周2000]陈立周.稳健设计[M].北京：机械工业出版社.2000.
[卓德保2005]卓德保,徐济超.面向过程改进的诊断性质量评价[M].北京：机械工业出版社.2005.
[Arunajadai 2002] Arunajadai S G., Scott J. U, Stone R B,. Tume I Y. Failure mode identification through clustering analysis[C].//Proceedings of DETC'02 ASME 2002 Design Engineering Technical Conference and Computers and Information in Engineering Conference Montreal, Canada,,2002: 511-526.
[徐波2004]徐波,于劲松,李行善.复杂系统的智能故障诊断[J].信息与控制,2004；33(1)：56-60.
[李文强2008]李文强,孙文磊,熊艳.多层次可拓物元基因概念设计方法的研究[J].计算机应用研究,2008,25(2)：414-：416.
[刘明周2004]刘明周郭嘉李旗号.机械产品精密配合中的选配方法研究[J].机械工程学报,2004,40(6)：165-168.
[刘春涛2006]刘春涛,林志航.基于响应面和支持向量机的产品健壮设计方法[J].计算机辅助设计与图形学学报,2006,18(8)：1174-1178.
[黄广龙2002]黄广龙.保质设计中方案评价方法及其关键技术的研究[D].浙江大学,2002.
[Arunajadai 2004] Arunajadai S G., Scott J. U, Stone R B,. Tume I Y. A framework for creating a function-based design tool for failure mode identification[J]. Failure Mode Identification through Clustering Analysis,20(5):511-526.
[Hubka 1992] Hubka V. Design for quality and design methodology [J]. Journal of Engineering Design,. 1992;3(1):5-15.
[Moczulsky 1998] Moczulsky etc. Method-Specific Knowledge Compilation:Towards Practical Design Support System[J]. Artificial Intelligence in Design.1998:427-444.
[冯毅雄2008]冯毅雄,谭建荣,李中凯.基于多目标遗传优化的注射成型机性能设计.计算机集成制造系统,2008,14(6)：1057-1062.
[李中凯2009]李中凯.产品族可重构设计理论与方法及其在大型空分设备中应用研究[D].杭州：浙江大学博士学位论文.2009.
[孙毅2007]孙毅.基于数据挖掘与知识重用的质量过程控制关键技术研究[D].杭州：浙江大学博士学位论文.2007.
[魏喆2009]魏喆.性能驱动的复杂机电产品设计理论和方法及其在大型注塑装备中的应用[D].杭州：浙江大学博士学位论文.2009.
[谭建荣2007]谭建荣,冯毅雄.设计知识建模、演化与应用[M].北京：国防工业出版社.2007.
[魏巍2010]魏巍.定制产品智能重组设计关键技术与方法研究及其应用[D].杭州：浙江大学博士学位论文.2010.
[谭建荣1998a]谭建荣,张树友,魏修亭.产品装配信息概念模型及自组织映射方法.中国机械工程,1998,9(5)：66-69.
[龚勋2011]龚勋,冯毅雄,谭建荣.基于空间结构隐马尔可夫模型的故障诊断[J].计算机集成制造系统.(已录用)
[谭建荣1998b]谭建荣.递归化产品信息集成建模技术.机电工程,1998,15(1)：9-11.
[李中凯2008]李中凯,谭建荣,冯毅雄,方辉.基于拥挤距离排序的多目标粒子群优化算法及其应用[J].计算机集成制造系统.2008；14(7)：1329-1336.
[楼健人2005]楼健人.产品可拓配置变型与进化设计技术研究[D].杭州：浙江大学博士学位论文, 2005.
[谢清2007]谢清.定制产品功能—结构映射原理、方法及关键技术研究.博士学位论文.杭州：浙江大学,2007.
[丁力平2010]丁力平.面向质量特性的定制产品稳健设计技术及其应用研究[D].杭州：浙江大学博士学位论文,2010.
[秦现生2002]秦现生,质量管理学(第二版)[M].北京：科学出版社,2002：153-155.
[Karsak 2002] Karsak E E, Sover S, Alpteki S E. Product planning in quality function deployment using a combined analytic network process and goal programming approach[J]. Computers & Industrial Engineering,2002,44 (1):171-190.
[王美清2004]王美清,唐晓青.产品设计中的用户需求与产品质量特征映射方法研究[J].机械工程学报,2004,40(5)：136-140.
[Masud 1993] Masud A S M, Dean E B. Using fuzzy sets in quality function deployment[C]//Proceedings of the 2nd Industrial Engineering Research Conference, Norcross, GA, USA:IIE,1993:270-274.
[许多2004]许多,严洪森.基于模糊度量质量屋的产品特征映射及分析[J].计算机集成制造系统,2004,10(6)：693-698.]
[Chen 2006] Chen L H, Weng M C. An evaluation approach to engineering design in QFD processes using fuzzy goal programming models[J]. European Journal of Operational Research,2006,172(1): 230-248.
[任朝晖2007]任朝晖,宋乃慧,李小彭,等.质量功能配置方法中模糊信息建模[J].机械工程学报,2007,43(5)：64-68.
[杨明顺2006]杨明顺,李言,林志航.顾客需求向技术特征映射的产品设计规划求解[J].计算机集成制造系统,2006,12(6)：853-856.
[李延来2008a]李延来,唐加福,姚建明,等.基于粗糙集理论的质量屋中工程特性确定方法[J].计算机集成制造系统,2008,14(2)：386-392.
[李延来2008b]李廷来,唐加福,姚建明,等.质量功能展开中选择工程特性的多目标决策方法[J].计算机集成制造系统,2008,14(7)：1363-1369.]
[Chin 2008] Chin K S, Wang Y M, Yang Jianbo, et al. An evidential reasoning based approach for quality function deployment under uncertainty[J]. Expert Systems with Applications,2008,36(3): 5684-5694.
[方辉2009]方辉,谭建荣,殷国富,等.基于灰理论的质量屋用户需求分析方法研究[J].计算机集成制造系统,2009,15(3)：576-585.]
[李延来2009]李延来,唐加福,姚建明,等.质量屋构建的研究进展[J].机械工程学报,2009,45(3)：57-70.]
[Lin 2008]Lin Chijen, WU Weiwen. A causal analytical method for group decision-making under fuzzy environment[J]. Expert Systems with Applications,2008,34 (1):205-213.
[HO 2011]HO W R, Tan J R, TZENG G H, et al. Combined DEMATEL technique with a novel MCDM model for exploring portfolio selection based on CAPM[J]. Expert Systems with Applications(已录用)
[周德群2008]周德群,章玲.集成DEMATEL/ISM的复杂系统层次划分研究[J].管理科学学报,2008,11(2)：20-26.
[黄景文2007]黄景文,丁永生.电子校务的风险因素分析[J].电子科技大学学报,2007,36(6)： 1370-1373.
[Yang 2006] Yang J B, Wang Y M, Xu D L, Chin K S. The evidential reasoning approach for MADA under both probabilistic and fuzzy uncertainties. European Journal of Operational Research,2006,171(1), 309-343.
[李洪兴1993]李洪兴,汪培庄.模糊数学[M].国防工业出版社,1993.
[Xu 2006]Xu D L, Yang J B, Wang Y M. The evidential reasoning approach for multi-attribute decision analysis under interval uncertainty. European Journal of Operational Research,2006,174(1), 1914-1943.
[Deb 2002]Deb K, PRATAP A, AGARWAL S. A fast and elitist multi-objective genetic algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation.2002,6(2):182-197.
[Stone 2000] Stone R B, Wood K L, CRAWFORD R H A. A heuristic method for identifying modules for product architectures[J]. Design Studies,2000,21(1):5-31.
[Gu 1999]Gu P, SOSAL E S. Product modularization for life engineering[J]. Robotics and Computer Integrated Manufacturing,1999,15(5):387-401.
[丁力平2008]丁力平,谭建荣,冯毅雄,等.基于解析结构模型的产品模块构建及其优化[J].计算机集成制造系统,2008,14(6)：1070-1077.
[王海军2003]王海军,孙宝元,魏小鹏.基于模糊聚类的产品模块化形成过程分析[J].计算机集成制造系统,2003,12(9)：123-126.
[汪文旦2007]汪文旦,秦现生,阎秀天,白晶.一种可视化设计结构矩阵的产品设计模块化识别方法[J].计算机集成制造系统,2007,13(12)：2345-2350.
[王爱民2003]王爱民,孟明辰,黄靖远.基于设计结构矩阵的模块化产品族设计方法研究[J].计算机集成制造系统,2003,9(3)：214-219.
[王海军2004]王海军,孙宝元,王吉军.面向大规模定制的产品模块化设计方法[J].计算机集成制造系统,2004,10(10)：1171-1176.
[谢清2006]谢清,谭建荣,冯毅雄,等.面向配置设计的产品功构单元粒度划分方法[J].机械工程学报,2006,42(11)：109-114.]
[Bezdeck 1984] Bezdeck J C, EHRLICH R, FULL W. FCM:Fuzzy C-means algorithm[J]. Computers and Geoscience,1984,10(1-3):191-203.
[Zhang 2008] Zhang Yunjie, WANG Weina, ZHANG Xiaona, et al. A cluster validity index for fuzzy clustering[J]. Information Sciences,2008,178(4):1205-1218.
[Kim 2004]Kim D W, LEE K H, LEE D. On cluster validity index for estimation of the optimal number of fuzzy clusters[J]. Pattern Recognition,2004,37(10):2009-2025.
[Eusuff 2000] Eusuff M.M, Lansey K E. Shuffled frog leaping algorithm:amemetic meta-heuristic for combinatorial optimation [M]. J.Heuristics, in press,2000.
[Eusuff 2003] Eusuff M M, Lansey K E.Optimization of water distribution network design using the shuffled frog leaping algorithm[J].ASCE,2003,129:3(210).
[Nam 2000]Nam P S, SUNG H D. Axiomatic design of software system[J]. Annals of the CIRP,2000,49(1): 95-100.
[Jiao 2004] Jiao Jianxin, TSENG Mitchell M. Customizability analysis in design for mass customization[J]. Computer-Aided Design,2004,36(8):745-757.
[朱光宇2009]朱光宇.模因内三角概率选择混合蛙跳算法[J].计算机集成制造系统,2009,15(10)：1979-1985.
[潘全科2007]潘全科,王文宏,朱剑英.解决无等待流水车间调度问题的离散粒子群优化算法[J].计算机集成制造系统,2007,13(6)：1127-1130.
[潘玉霞2010]潘玉霞,潘全科,桑红燕.批量流水线调度问题的混合离散蛙跳算法[J].计算机集成制造系统,2010,16(6)：1265-1271.
[谭建荣2007]谭建荣,冯毅雄.设计知识建模、演化与应用[M].北京：国防工业出版社,2007.
[侯亮2007]侯亮,韩东辉,温志嘉.面向新产品协同开发的供应商规划与选择[J].机械工程学报,2007,43(5)：50-56.
[李昕2003]李昕,吴澄,刘连臣.行业性电子商务平台下的供应商选择问题研究[J].计算机集成制造系统,2003,9(4)：270-275.
[胡仕成2003]胡仕成,徐晓飞,焦晓霞,等.基于BOM的质量-成本优化控制模式[J].计算机集成制造系统,2003,9(4)：314-319.
[Ni 2007]Ni M., XU X., DENG S. Extended QFD and data-mining-based methods for supplier selection in mass customization[J]. International Journal of Computer Integrated Manufacturing,2007,20(2-3), 280-291.
[Rezaei 2008] JAFAR Rezaei, MANSOOR Davoodi. A deterministic, multi-item inventory model with supplier selection and imperfect quality[J]. Applied Mathematical Modelling,2008,32(10): 2106-2116.
[Balakrishnan 2008] Balakrishnan N, Chakravarty A K. Product design with multiple suppliers for component variants[J]. International Journal of Production Economics,112(2),2008,723-741.
[Dash 2010] Dash Desheng, ZHANG Yidong, WU Dexiang. Fuzzy multi-objective programming for supplier selection and risk modeling:A possibility approach[J]. European Journal of Operational Research,2010,200(3),774-787.
[董景峰2007]董景峰,王刚,吕民,等.基于改进蚁群算法的多供应商选择问题求解[J].计算机集成制造系统,2007,13(8)：1639-1644.
[焦明海2008]焦明海,唐加福,牟立峰,等.基于改进粒子群算法的供应商参与可靠性设计优化[J].机械工程学报,2008,44(12)：123-130.
[唐加福2005]唐加福,张艳娥,陈以增.供应商参与下的产品部件设计方案选择模型[J].计算机集成制造系统,2005,11(5)：619-624.
[褚学宁2007]褚学宁,张在房,刘航.供应商参与的水平定向钻机整机设计方案决策研究[J].计算机集成制造系统,2007,13(6)：1047-1053.
[Zitzler 2000] Zitzler E, Deb K, Thiele L. Comparison of multi-objective evolutionary algorithms:empirical results[J]. IEEE Transactions on Evolutionary Computation,2000,18(2):173-195.
[Zitzler 2001] Zitzler E, Laumanns M, Thiele L. SPEA2:Improving the strength Pareto evolutionary algorithm[R], Swiss Federal Institute of Technology. Tech. Rep.:103,2001.
[Zitzler 2006] Zitzler E. SPEA2:Improving the strength Pareto evolutionary algorithm for multi-objective optimization[C]//Proc. Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, EUROGEN 2006,2001:95-100.
[郑漳华2008]郑漳华,艾芊,徐伟华,等.基于伪并行SPEA2算法的多目标鲁棒PID优化设计[J].系统仿真学报,2008,20(12)：3155.3159.
[丁胜祥2008]丁胜祥,董增川,王德智,等.基于Pareto强度进化算法的供水库群多目标优化调度[J].水科学进展,2008,19(5)：679-684.
[王钧2007]王钧,李军,景宁,等.基于约束满足的多目标对地观测卫星成像调度[J].国防科技大学学报,2007,29(4)：66-71.
[王石2008]王石,戴金海.用改进的SPEA求解轨道转移的时间-能量极小化问题[J].天文学报,2008,44(2)：197：203.
[魏巍2009]魏巍,谭建荣,冯毅雄,等.基于SPEA2+的产品族模块单元多目标规划方法[J].机械工程学报,2009,45(12)：143-150.
[程锦2010]程锦,谭建荣,魏巍.基于变粒度的注塑模流道多目标优化设计[J].机械工程学报,2010,46(6)：170-175.
[SONGA 2010] SONGA Zhe, KUSIAK Andrew. Mining Pareto-optimal modules for delayed product differentiation[J]. European Journal of Operational Research,2010,201(1):123-128.
[刘鎏2008]刘鎏,李敏强,林丹.基于ε-支配的多目标进化算法及自适应ε调整策略[J].计算机学报,2008,31(7)：1063-1072.
[姚金涛2005]姚金涛,林亚平,张明武,等.一种基于决策图贝叶斯网络的强度Pareto进化算法[J].计算机学报,2005,28(12)：1993-1999.
[张敏2009]张敏,罗文坚,王煦法.一种基于正态分布交叉的ε-MOEA[J]软件学报,2009,20(2)：305-314.
[王勇2009]王勇,蔡自兴,周育人,等.约束优化进化算法[J].软件学报,2009,20(1)：11-29.
[Woldesenbet 2009] Woldesenbet Y G, Yen G G, Tessema B G. Constraint handling in multi-objective evolutionary optimization[J], IEEE Transactions on Evolutionary Computation,2009,13(3): 514-525.
[Ho 2010]Ho William, Xiaowei Xu, Prasanta K. Dey Multi-criteria decision making approaches for supplier evaluation and selection:A literature review European Journal of Operational Research,2010, 202(1):16-24
[邓聚龙2002]邓聚龙.灰理论基础[M].武汉：华中科技大学出版社,2002.
[邓聚龙1997]邓聚龙,郭洪.灰预测原理与应用[M].台北：全华科技图书,1997.
[于德介2007]于德介,臧献国,刘坚,李德刚.基于灰色理论的设计状态预测[J].湖南大学学报(自然科学版),2007,34(11)：33-36.
[Hsu 2010]Hsu L C. A genetic algorithm based nonlinear grey Bernoulli model for output forecasting in integrated circuit industry[J], Expert Systems with Applications,2010,37(6),4318-4323
[Lin 2002]Lin C T, Lee I F. Artificial intelligence diagnosis algorithm for expanding a precision expert forecasting system[J], Expert Systems with Applications,2009,36(4),8385-8390.
[Hsu 2009]Hsu Y T, LIU M C, YEH J, et al. Forecasting the turning time of stock market based on Markov-Fourier grey model[J], Expert Systems with Applications,2009,36(4),8597-8603.
[Kayacan 2010] Kayacan E, Ulutas B, Kaynak O. Grey system theory-based models in time series prediction[J], Expert Systems with Applications,2010,37(2),1784-1789.
[Opricovic 2010] Opricovic S, Tzeng G H. Compromise solution by MCDM methods:a comparative analysis of VIKOR and TOPSIS[J]. European Journal of Operational Research,2004,156 (2):445-455.
[苏志欣2010]苏志欣,王理,夏国平,等.一种基于改进VIKOR的土石方调配两阶段优化方法[J].北京理工大学学报,2010,30(3)：369-373.
[曹生荣2003]曹生荣,王先甲,申明亮.大型水电工程土石方调配系统分析及其优化调配模型[J].中 国工程科学,2003,5(7)：72-76.
[姜晓鹏2007]姜晓鹏.可重构制造系统性能综合评价研究[D].西安：西北工业大学博士学位论文,2007.
[新藤久和1998]新藤久和.实践QFD的活用——日本质量机能展开研究会10年成果.东京：日科技联出版社,1998.
[熊诗波2000]熊诗波.大型复杂机械系统的状态监测和故障诊断[J].振动、测试与诊断,2000,4,233-235.
[熊伟2005]熊伟.质量机能展开[M].北京：化学工业出版社,2005：16-20.
[徐忠1990]徐忠.离心式压缩机原理[M].北京：机械工业出版社,1990.
[张根保2002]张根保,王化培.可重构机床及其关键技术[J].制造技术与机床,2002,(5)：22-24.
[张志红2008]张志红,何桢,郭伟.望目特性稳健参数设计优化标准的构建[J].机械工程学报,2008,44(4)：133-137.
[蒋建东2006]蒋建东,叶永伟,张宪,张立彬.基于CBR小型农业作业机的可重构设计[J].农业机械学报,2006,37(6)：32-35.
[金欣磊2007]金欣磊,马龙华,刘波,钱积新.基于动态交换策略的快速多目标粒子群优化算法研究[J].电路与系统学报,2007,12(2)：78-82.
[李建勇2000]李建勇,鄂明成,查建中.制造系统鲁棒性的设计与优化[J].北方交通大学学报,2000,24(4)：43-47.
[胡仕成2003]胡仕成,徐晓飞,焦晓霞,等.基于BOM的质量-成本优化控制模式[J].计算机集成制造系统,2003,9(4)：314-319.
[赵克勤2000]赵克勤.集对分析及其初步应用[M].杭州：浙江科学技术出版社,2000.
[金华征2005]金华征,程浩忠,曾德君,等.基于集对分析的柔性电网规划方法[J].中国电机工程学报,2005,25(3)：7-12.
[胡波2007]胡波,王汝传,王海艳.基于集对分析的P2P网络安全中的信誉度改进算法[J].电子学报,2007,35(2)：244-247.
[张斌1997]张斌,赵秀海,李义.基于集对分析的多属性决策及其稳定性分析[J].吉林林学院学报,1997,13(4)：232-235.
[孟宪萌2009]孟宪萌,胡和平.基于熵权的集对分析模型在水质综合评价中的应用[J].水利学报,2009,40(3)：257-262.
[朱兵2008]朱兵,王文圣,王红芳,等.集对分析中差异不确定系数i的探讨.四川大学学报：工程科学版,2008,40(1)：5-9.
[杨俊杰2008]杨俊杰,周建中,方仍存,等.基于集对分析的不确定多属性决策方法[J].控制与决策,2008,23(12)：1423-1426.]
[孙晋众2009]孙晋众,陈世权.一种基于模糊集值统计的集对预测方法[J].模糊系统与数学,2009,23(3)：56-60.
[Wolfram 1994] S Wolfram, Cellular Automata and Complexity[M], Perseus Books Group,1994.
[Narendra 1989] K. S. Narendra, M. A. L. Thathachar, Learning Automata:An Introduction [M], Printice-Hall Inc,1989.
[Hariri 2005] A. Hariri, R. Rastegar, M. R. Meybodi. Cellular Learning Automata based Evolutionary Computing (CLA-EC) for Intrinsic Hardware Evolution[C]. IEEE,2005, Proceedings of the 2005 NASA/DoD Conference of Evolution Hardware (EH'05) 0-7695-2399-4/05.
[Beigy 2004] H Beigy, M. R. Meybodi, A Mathematical Framework for Cellular Learning Automata [J], 2004, Advances on Complex Systems,7(3-4):295-320.
[Deb 2000]Deb K. An efficient constraint handling method for genetic algorithms[J]. Computer Methods in Applied Mechanics and Engineering,2000,186:311-338.
[Thurston 1992] Thurston D. L, and Carnahan J. V. Fuzzy ratings and utility analysis in preliminary design evaluation of multiple attributes[J], Journal of Mechanical Design,1992,114(4):648-658.
[周庆忠2001]周庆忠,曾慧娥.机械产品设计方案的灰色模糊综合评价[J].机械设计与制造,2001,38(3)：6-8.
[张雪平2005]张雪平,殷国富.基于层次灰色关联的产品绿色度评价研究[J].中国电机工程学报,2005,25(17)：78-82.
[Ayag 2009] Ayag Z., Ozdemir R.G.. A hybrid approach to concept selection through fuzzy analytic network process[J], Computers & Industrial Engineering,2009,56(1):368-379.
[ZHAI 2009] ZHAI L Y, KHOO L P, ZHONG Z W. Design concept evaluation in product development using rough sets and grey relation analysis[J]. Expert Systems with Applications,2009,36(3),7072-7079.
[胡良明2007]胡良明,徐诚,方峻.CBR技术在枪械方案设计专家系统中的应用[J].系统仿真学报,2007,19(4)：772-775.
[HUANG 2006] HUANG Hong-zhong, BO Rui-feng, CHEN Wei. An integrated computational intelligence approach to product concept generation and evaluation[J]. Mechanism and Machine Theory,2006, 41(5):567-583.
[古莹奎2007]古莹奎,杨振宇.概念设计方案评价的模糊多准则决策模型[J].计算机集成制造系统,2007,13(8)：1504-1510.
[方辉2009]方辉,殷国富,李中凯,等.基于改进不确定语言多属性决策的设计方案评价[J].计算机集成制造系,2009,15(7)：1257-1261.
[GENG 2010] GENG Xiuli, CHU Xuening, ZHANG Zaifang. A new integrated design concept evaluation approach based on vague sets[J], Expert Systems with Applications,2010,37(9):6629-6638.
[邓军2009]邓军,余忠华,吴昭同.基于信息熵的概念设计的质量评价[J].浙江大学学报(工学版),2009,43(8)：1480-1484.
[MUROFUSHI 1991] MUROFUSHI T, SUGENO M. A theory of fuzzy measures, representation, the Choquet integral and null sets[J], Journal of Mathematical Analysis and Applications,1991,159(2): 532-549.
[张朝勇2007]张朝勇,王卓甫,邢会歌.基于Choquet模糊积分的工程投标风险评估方法[J].土木工程学报,2007,40(10)：98-104.
[王继奎2009]王继奎.基于模糊积分的客户满意度综合评价算法设计[J].甘肃科学学报,2009,21(1)：101-104.
[丁莹2010]丁莹,李文辉,范静涛,等.基于Choquet模糊积分的运动目标检测算法[J].电子学报,2010,38(2)：263-268.
[GRABISCH 1997] GRABISCH M.k-order additive discrete fuzzy measures and their representation[J]. Fuzzy Sets and Systems,1997,92(2):167-189.
[MARICHAL 2002] MARICHAL J L. Entropy of discrete Choquet capacities[J]. European Journal of Operational Research,2002,137(3):612-624.
[章玲2008]章玲,周德群.基于κ-可加模糊测度的多属性决策分析[J].管理科学学报,2008,11(6)： 18-24.
[Shapley 1994] L. S. Shapley, Martin Shubik. A Method for Evaluating the Distribution of Power in a Committee System[J]. American Political Science Association,1994,48(3),787-792.
[许永平2009]许永平,石福丽,杨峰,等.基于模糊积分的潜艇作战能力评估方法[J].计算机仿真,2009,26(9)：19-23.
[SAAD 2008] SAAD Ihsen, HAMMADI Slim, BENREJEB Mohamed, et al. Choquet integral for criteria aggregation in the flexible job-shop scheduling problems[J]. Mathematics and Computers in Simulation,2008,76(5-6):447-462.
[BUYUKOZKAN 2010] BUYUKOZKAN G, RUAN D. Choquet integral based aggregation approach to software development risk assessment[J], Information Sciences,2010,180(3):441-451.
[卢建昌2008]卢建昌,韩红领,刘天宝,等.基于模糊积分的电力客户满意度综合评价[J].电网技术,2008,32(1)：67-70.
[TSENG 2009] TSENG M L, CHIANG J H, Lawrence W. Lan. Selection of optimal supplier in supply chain management strategy with analytic network process and Choquet integral[J]. Computers & Industrial Engineering,2009,57(1):330-340.
[谭春桥2010]谭春桥,陈晓红.基于Choquet延拓n人模糊对策的Shapley值[J].管理科学学报,2010,,13(2)：24-32.
[尹彦2009]尹彦,赵涛,齐莉丽.基于Choquet积分的知识管理绩效评价[J].现代管理科学,2009,9：78-80.
[凌静2009]凌静,徐立中,石爱业,等.一种基于Choquet模糊积分小波系数选择的遥感图像融合方法[J].遥感学报,2009,13(2)：263-268.
[于学军2007]于学军,罗振璧,朱立强.公理设计中确定交互作用程度的方法[J].机械工程学报,2007,43(4)：39-52.
[ZHANG 2009] ZHANG Dongfeng, ZHANG Jinlong, LAI K, et al. An novel approach to supplier selection based on vague sets group decision[J], Expert Systems with Applications,2009,36(5):9557-9563.
[徐泽水2001]徐泽水.模糊互补判断矩阵排序的一种算法[J].系统工程学报,2001,16(4)：311-314.
[SHAFER 1976] SHAFER G. A mathematical theory of evidence[M]. Princeton University Press, Princeton, N.J.,1976.
[吕文红2005]吕文红,吴祈宗,郭银景.基于D-S证据理论的群决策专家意见集结方法[J].运筹与管理,2005,14(2)：10-25.
[WU 2009]WU (Dash) Desheng. Supplier selection in a fuzzy group setting:A method using grey related analysis and Dempster-Shafer theory[J], Expert Systems with Applications,2009,36(5):8892-8899.
[Tanino 1984] Tanino, T. Fuzzy preference orderings in group decision making. Fuzzy Sets and Systems, 1984,12,117-131.
[Tanino 1990] Tanino, T. O. On group decision making under fuzzy preferences. In J.Kacprzyk & M. Fedrizzi (Eds.), Multiperson decision making using fuzzy sets and possibility theory,1990, Dordrecht, MA:Kluwer Academic Publishers.
[FU 2010]FU Chao, YANG Shanlin. The group consensus based evidential reasoning approach for multiple attributive group decision analysis[J], European Journal of Operational Research,2010,206(3): 601-608.
[高飞2004]高飞.面向大批量定制的产品设计方法学研究[D].杭州：浙江大学博士学位论文,2004.
[侯亮2004]侯亮,唐任仲,徐燕申.产品模块化设计理论、技术与应用研究进展[J].机械工程学报, 2004,40(1)：56-61.
[贾延林1993]贾延林.模块化设计[M].北京：机械工业出版社,1993.
[李树军2004]李树军,张艳丽,赵明扬.可重构模块化机器人模块及构形设计[J].东北大学学报(自然科学版),2004,25(1)：78-81.
[刘长福2006]刘长福,邓明.航空发动机结构分析[M].西安：西北工业大学出版社,2006.
[刘夫云2005]刘夫云,杨青海,祁国宁,黄哲人.基于复杂网络的产品族零部件通用性分析方法[J].机械工程学报,2005,41(11)：75-79.
[刘思峰2004]刘思峰,党耀国,方志耕,等.灰色系统理论及其应用[M].北京：科学出版社,2004.
[吕挺锋2007]吕挺锋.大型化工型内压缩流程空分设备新工艺的研制与发展[J].杭氧科技,2007,(2)：1-5.
[罗振璧2000]罗振璧,盛佰浩,赵晓波.快速重组制造系统[J].中国机械工程,2000,11(3)：300-303.
[罗振璧2004]罗振璧,于学军,刘阶萍等.可重构性和可重构设计理论[J].清华大学学报(自然科学版),2004,44(5)：577-580.
[史铁林2003]史铁林,陈勇辉,李巍华,熊良才,廖广兰.提高大型复杂机电系统故障诊断质量的几种新方法[J].机械工程学报,2003,16(9)：1-10.
[祁国宁2003]祁国宁,顾新建,谭建荣.大批量定制技术及其应用[M].北京：机械工业出版社,2003.
[秦红斌2006]秦红斌.基于公共产品平台的产品族设计技术研究[D].武汉：华中科技大学博士学位论文,2006.
[苏变萍2007]苏变萍,曹艳平,王婷.多因素多时间序列的灰色预测模型[J].西安建筑科技大学学报(自然科学版),2007,39(2)：289-292.
[唐涛2003]唐涛,刘志峰,刘光复等.绿色模块化设计方法研究[J].机械工程学报,2003,39(11)：149-154.
[吴扬东2008]吴扬东.面向机械产品族的稳健设计技术研究[D].杭州：浙江大学博士学位论文,2008.
[肖新平2005]肖新平,宋中民,李峰.灰技术基础及其应用[J].北京：科学出版社,2005：26-50.
[朱斌2006]朱斌,江平宇.面向产品族的设计方法学[J].机械工程学报,2006,42(3)：1-8.