几类模糊多属性决策方法及其应用研究
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摘要
模糊多属性决策理论是现代决策科学的重要组成部分。与传统的多属性决策方法相比，模糊多属性决策方法可以更好地应对客观事物的不确定性、复杂性和人类思维的模糊性，其理论与方法在国家、社会、企业及个人等各个层面都有着非常广泛而成功的应用。所以，开展模糊多属性决策理论及其方法的研究具有重要的理论意义和实际应用价值。本文针对模糊多属性决策问题，从以下几个方面进行了探索性的研究：
1.直觉模糊集之间距离和贴近度测度方法研究。本文提出了一种新的直觉模糊集之间距离测度方法并证明其满足距离的公理化定义要求。该方法假定直觉模糊集（区间模糊集）所对应区间上的各点在距离距离或贴近度测度中提供了不同的信息量，即区间中点信息量最大，离中点越近的点提供的信息量越大，该方法包含了直觉模糊集（区间模糊集）所对应区间上全部点的信息，因此可以较好地解决距离和贴近度的测度过程中的信息损失问题。
2.直觉模糊熵度量方法研究。本文以常用的直觉模糊集之间距离的测度方法为基础提出一组拓展的直觉模糊集之间距离测度方法，并构建了一系列基于上述拓展的直觉模糊集距离和直觉模糊指数的直觉模糊熵并证明它们满足直觉模糊熵的公理化定义要求，这些直觉模糊熵同时考虑隶属度、非隶属度和直觉指数三个函数，从而有利于避免决策人做出不符合人们直觉的判断。
3.属性权重信息不完备且属性值为区间直觉模糊集的多属性决策研究。本文提出了两种属性权重信息不完备且属性值为区间直觉模糊集的属性权重确定方法。第一种方法综合利用H p,q转化函数、模糊线性规划和拓展的TOPSIS来确定属性权重；第二种方法先是建立了一系列代表各方案绩效的线性规划模型，然后将这些线性规划模糊综合为一个线性规划模型，求解该模型即得到属性权重；依据拓展的TOPSIS和可能度理论对各方案进行排序。
4.基于区间二元语义信息集结算子的多属性（群）决策研究。本文提出一种新的区间二元语义模型并提出了区间二元语义的得分函数和精确函数；提出了一系列的区间二元语义集结算子：区间二元语义加权算术平均、区间二元语义有序加权平均算子、区间二元语义几何平均算子、区间二元语义有序加权几何平均算子、区间二元语义有序加权二次型平均算子、区间二元语义有序加权调和平均算子、广义区间二元语义有序加权平均算子、广义区间二元语义加权算术平均算子、广义区间二元语义有序加权平均算子等并讨论了其相关性质；提出了一种基于精确度的确定区间二元语义集结算子权重向量的方法并将其应用于模糊多属性决策。
5.模糊多属性决策在服务创新管理中的应用-以网络银行为例。本文在质量功能展开和服务创新四维模型相结合的基础上提出了基于顾客满意的服务创新模型；以上述模型为基础，构建了基于顾客满意的网络银行服务创新模型，并综合运用模糊多属性决策方法确定了各项顾客需求的重要度、顾客需求与创新要素的关系密切程度、创新要素的重要度等；基于评价结果提出了提高网络银行服务创新绩效的对策和建议。
Fuzzy multiple attribute deeision making (FMADM) theory is an important branch of moderndecision science. Compared with traditional multiple attribute deeision making (MADM) method,FMADM method can better deal with the fuzziness of human thinking, uncertainty andcomplexity of objective things, and it has been widely and successfully used by country, society,enterprises and people. So, carrying out the study on FMADM is of high value both in theory andpratice. Aiming at further improvement for FMADM theory, the main structure of this paper isdetailed as follows:
1. Study on the distance and similarity measures between intuitionistic fuzzy sets (IFSs) orinterval-valued fuzzy sets (IVFSs). This paper puts forward a new kind of distance measure forIFSs and proves that the measure proposed satisfy the properties of axiomatic definition fordistance measure between IFSs. This method contains information of all points on the interval ofIVFSs and assumes that different points on the interval provide different amount of informationfor distance measure, i.e., the closer the point is from the midpoint, the more information it canprovide. As a result, this distance measure can overcome the drawback of information loss to alarge extent.
2. Study on entropy measures for IFSs. Based on some widely used distance measures andintuitionistic index, this paper proposes a series of entropy measures for IFSs, which meet theaxiomatic requirements of entropy measure for IFSs. The entropies construced in this paper takeall three functions into account, i.e., intuitionistic index, degree of membership andnonmembership. The examples provided demonstrate that the results produced by entropiesaforementioned are consistent with people’s intuition.
3. Study on MAMD under interval-valued intuitionistic fuzzy environment (IVIFE) withincomplete attribute weight information. This paper puts forward two methods to determine theattribute weights in MAMD underIVIFE with incomplete attribute weight information. In the firstmethod, theH p,qoperator, fuzzy linear programming and extended TOPSIS are integrated toderive the attribute weights. In the second method, a series of programming models based oncross-entropy are constructed and eventually aggregated into a single objective linearprogramming model, from which the attribute weights are obtained. Then, all the alternaives areranked based on extended TOPSIS and concept of likelihood.
4. Study on multiattribute group decision making (MAGDM) method based on aggregationoperators with Interval-valued2-tuple linguistic information. This paper proposes theinterval-valued2-tuple linguistic model and introduces its score and accuracy functions forcomparison between interval-valued2-tuples. In addition, a series of aggregation operators ofinterval-valued2-tuples, together with their properties, are presented, such as interval-valued 2-tuple weighted average (IVTWA) operator, interval-valued2-tuple ordered weighted average(IVTOWA) operator, the interval-valued2-tuple weighted geometric (IVTWG) operator, theinterval-valued2-tuple ordered weighted geometric (IVTOWG) operator, the generalizedinterval-valued2-tuple weighted average (GIVTWA) operator and the generalized interval-valued2-tuple ordered weighted average (GIVTOWA). Furthermoer, based on the concept of degree ofprecision, a new method to determine the weight vector of interval-valued2-tuple aggregationoperator is put forward.
5. The application of FMADM method in service innovation management–a case study ofinternet bank. On the basis of quality function development (QFD) and four-dimensional model ofservice innovation, this paper develops the customer oriented service innovation model and applysthis model to pratice in innovation management of internet bank, where the importance degree ofcustomer demands and innovation elements, and degree of closeness among them are derived byFMADM method. At last, countermeasures and suggestions are put forward for improvement ofinnovation performance in internet bank.
1.直觉模糊集之间距离和贴近度测度方法研究。本文提出了一种新的直觉模糊集之间距离测度方法并证明其满足距离的公理化定义要求。该方法假定直觉模糊集（区间模糊集）所对应区间上的各点在距离距离或贴近度测度中提供了不同的信息量，即区间中点信息量最大，离中点越近的点提供的信息量越大，该方法包含了直觉模糊集（区间模糊集）所对应区间上全部点的信息，因此可以较好地解决距离和贴近度的测度过程中的信息损失问题。
2.直觉模糊熵度量方法研究。本文以常用的直觉模糊集之间距离的测度方法为基础提出一组拓展的直觉模糊集之间距离测度方法，并构建了一系列基于上述拓展的直觉模糊集距离和直觉模糊指数的直觉模糊熵并证明它们满足直觉模糊熵的公理化定义要求，这些直觉模糊熵同时考虑隶属度、非隶属度和直觉指数三个函数，从而有利于避免决策人做出不符合人们直觉的判断。
3.属性权重信息不完备且属性值为区间直觉模糊集的多属性决策研究。本文提出了两种属性权重信息不完备且属性值为区间直觉模糊集的属性权重确定方法。第一种方法综合利用H p,q转化函数、模糊线性规划和拓展的TOPSIS来确定属性权重；第二种方法先是建立了一系列代表各方案绩效的线性规划模型，然后将这些线性规划模糊综合为一个线性规划模型，求解该模型即得到属性权重；依据拓展的TOPSIS和可能度理论对各方案进行排序。
4.基于区间二元语义信息集结算子的多属性（群）决策研究。本文提出一种新的区间二元语义模型并提出了区间二元语义的得分函数和精确函数；提出了一系列的区间二元语义集结算子：区间二元语义加权算术平均、区间二元语义有序加权平均算子、区间二元语义几何平均算子、区间二元语义有序加权几何平均算子、区间二元语义有序加权二次型平均算子、区间二元语义有序加权调和平均算子、广义区间二元语义有序加权平均算子、广义区间二元语义加权算术平均算子、广义区间二元语义有序加权平均算子等并讨论了其相关性质；提出了一种基于精确度的确定区间二元语义集结算子权重向量的方法并将其应用于模糊多属性决策。
5.模糊多属性决策在服务创新管理中的应用-以网络银行为例。本文在质量功能展开和服务创新四维模型相结合的基础上提出了基于顾客满意的服务创新模型；以上述模型为基础，构建了基于顾客满意的网络银行服务创新模型，并综合运用模糊多属性决策方法确定了各项顾客需求的重要度、顾客需求与创新要素的关系密切程度、创新要素的重要度等；基于评价结果提出了提高网络银行服务创新绩效的对策和建议。
Fuzzy multiple attribute deeision making (FMADM) theory is an important branch of moderndecision science. Compared with traditional multiple attribute deeision making (MADM) method,FMADM method can better deal with the fuzziness of human thinking, uncertainty andcomplexity of objective things, and it has been widely and successfully used by country, society,enterprises and people. So, carrying out the study on FMADM is of high value both in theory andpratice. Aiming at further improvement for FMADM theory, the main structure of this paper isdetailed as follows:
1. Study on the distance and similarity measures between intuitionistic fuzzy sets (IFSs) orinterval-valued fuzzy sets (IVFSs). This paper puts forward a new kind of distance measure forIFSs and proves that the measure proposed satisfy the properties of axiomatic definition fordistance measure between IFSs. This method contains information of all points on the interval ofIVFSs and assumes that different points on the interval provide different amount of informationfor distance measure, i.e., the closer the point is from the midpoint, the more information it canprovide. As a result, this distance measure can overcome the drawback of information loss to alarge extent.
2. Study on entropy measures for IFSs. Based on some widely used distance measures andintuitionistic index, this paper proposes a series of entropy measures for IFSs, which meet theaxiomatic requirements of entropy measure for IFSs. The entropies construced in this paper takeall three functions into account, i.e., intuitionistic index, degree of membership andnonmembership. The examples provided demonstrate that the results produced by entropiesaforementioned are consistent with people’s intuition.
3. Study on MAMD under interval-valued intuitionistic fuzzy environment (IVIFE) withincomplete attribute weight information. This paper puts forward two methods to determine theattribute weights in MAMD underIVIFE with incomplete attribute weight information. In the firstmethod, theH p,qoperator, fuzzy linear programming and extended TOPSIS are integrated toderive the attribute weights. In the second method, a series of programming models based oncross-entropy are constructed and eventually aggregated into a single objective linearprogramming model, from which the attribute weights are obtained. Then, all the alternaives areranked based on extended TOPSIS and concept of likelihood.
4. Study on multiattribute group decision making (MAGDM) method based on aggregationoperators with Interval-valued2-tuple linguistic information. This paper proposes theinterval-valued2-tuple linguistic model and introduces its score and accuracy functions forcomparison between interval-valued2-tuples. In addition, a series of aggregation operators ofinterval-valued2-tuples, together with their properties, are presented, such as interval-valued 2-tuple weighted average (IVTWA) operator, interval-valued2-tuple ordered weighted average(IVTOWA) operator, the interval-valued2-tuple weighted geometric (IVTWG) operator, theinterval-valued2-tuple ordered weighted geometric (IVTOWG) operator, the generalizedinterval-valued2-tuple weighted average (GIVTWA) operator and the generalized interval-valued2-tuple ordered weighted average (GIVTOWA). Furthermoer, based on the concept of degree ofprecision, a new method to determine the weight vector of interval-valued2-tuple aggregationoperator is put forward.
5. The application of FMADM method in service innovation management–a case study ofinternet bank. On the basis of quality function development (QFD) and four-dimensional model ofservice innovation, this paper develops the customer oriented service innovation model and applysthis model to pratice in innovation management of internet bank, where the importance degree ofcustomer demands and innovation elements, and degree of closeness among them are derived byFMADM method. At last, countermeasures and suggestions are put forward for improvement ofinnovation performance in internet bank.
引文
[1] Hwang, C.L., Yoon K., Multiple Attribute Deeision Making and Applications [M]. NewYork:SPringer-Veriag,1981
[2] Hwang, C.L., Lin, M.J., Group Decision Making under Multiple Criteria: Methods andApplications [M]. Berlin: Springer,1987
[3] Hwang, C.L., Yoon, K., Multiple Attribute Decision Making: Methods and Applications[M].Springer, Berlin, Heideberg, New York,1981
[4] Atanassov, K., Intuitionistic fuzzy sets: theory and applications, Physica-Verlag, Wyrzburg,1999
[5] Szmid, E., Kacprzyk, J., On measuring distances between intuitionistic fuzzy sets [J]. NotesIFS3,1997, pp.1-13
[6] Szmidt, E., Kacprzyk, J., Distances between intuitionistic fuzzy sets [J]. Fuzzy Sets andSystems,114,1997, pp.505-518
[7] Chen, S.M., Measures of similarity between vague sets [J]. Fuzzy Sets and Systems,74(2),1995, pp.217-223
[8] Chen, S.M., Similarity measures between vague sets and between elements [J]. IEEETransactions on Systems, Man and Cybernetics,27(1),1997, pp.153-158
[9] Li, D., Cheng, C., New similarity measures of intuitionistic fuzzy sets and application topattern recognition [J]. Pattern Recognition Letters,23,2002, pp.221-225
[10] Liang, Z., Shi, P., Similarity measures on intuitionistic fuzzy sets [J]. Pattern RecognitionLetters,24,2003, pp.2687-2693
[11] Mitchell, H.B., On the Dengfeng-Chuitian similarity measure and its application to patternrecognition, Pattern Recognition Letters,24,2003, pp.3101-3104
[12] Wang, W., Xin, X., Distance measure between intuitionistic fuzzy sets [J]. PatternRecognition Letters,26,2005, pp.2063-2069
[13] Liu, H.W., New Similarity Measures Between Intuitionistic Fuzzy Sets and BetweenElements [J]. Mathematical and Computer Modelling,42,2005, pp.61-70
[14] Vlachos, K.I., Sergiadis, G.D., Intuitionistic fuzzy information-applications to patternrecognition [J]. Pattern Recognition Letters,28,2007, pp.197-206
[15] Hung, W.L., Yang, M.S., On Similarity Measures between intuitionistic fuzzy sets [J].International Journal of Intelligent Systems,23,2008, pp.364-383
[16] Xu, Z.S., Chen, J., An overview of distance and similarity measures of intuitionistic fuzzysets [J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems,16,2008,pp.529-555
[17] Szmidt, E., Kacprzyk, J., A similarity measure for intuitionistic fuzzy sets and its applicationin supporting medical diagnostic reasoning [J]. Lecture Notes in Artificial Intelligence,3070,2004,pp.388-393
[18] Xu, Z.S., Yager, R.R., Intuitionistic and interval-valued intutionistic fuzzy preferencerelations and their measures of similarity for the evaluation of agreement within a group [J]. FuzzyOptimization and Decision Making,8,2009, pp.123-139
[19] Xia, M.M., Xu, Z.S., Some new similarity measures for intuitionistic fuzzy values and theirapplication in group decision making [J]. Journal of Systems Science and Systems Engineering,19,2010, pp.430-452
[20] Wei, C.P., Wang, P., Zhang, Y.Z., Entropy, similarity measure of interval-valuedintuitionistic fuzzy sets and their applications [J]. Information Sciences,181,2011, pp.4273-4286
[21] Ye, J., Cosine similarity measures for intuitionistic fuzzy sets and their applications [J].Mathematical and Computer Modelling,53,2011, pp.91-97
[22] Hwang, C.M., Yang, M.S., Hung, W.L., Lee, M.G., A similarity measure of intuitionisticfuzzy sets based on the Sugeno integral with its application to pattern recognition [J]. InformationSciences,189,2012, pp.93-109
[23] Li, J.Q., Deng, G.N., Li, H.X., Zeng, W.Y., The relationship between similarity measure andentropy of intuitionistic fuzzy sets [J]. Information Sciences,188,2012, pp.314-321
[24] De Luca, A., Termini, S., A definition of non-probabilistic entropy in the setting of fuzzy setstheory [J]. Information and Control,20,1972, pp.301-312
[25] Kaufmann, A., Introduction to the theory of fuzzy Subsets, Fundamental TheoreticalElements [M]. Academic Press, NewYork,1975
[26] Liu, X.C., Entropy, distance measure and similarity measure of fuzzy sets and their relations[J]. Fuzzy Sets and Systems,52(3),1992, pp.305-318
[27] Shang, X.G., Jiang, W.S., A note on fuzzy information measures [J]. Pattern RecognitionLetters,18(5),1997, pp.425-432
[28] Yager, R.R., On the measure of fuzziness and negation. Part I: Membership in the unitinterval [J]. International Journal of General Systems,5,1979, pp.189-200
[29] Zadeh, L.A., Fuzzy sets and systems [M]. Proceedings of the Symposium on Systems, TheoryPolytechnic Institute of Brooklyn, New York,1965, pp.29-37
[30] Burillo, P., Bustince, H., Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets[J]. Fuzzy Sets and Systems,78(3),1996, pp.305-316
[31] Szmid, E., Kacprzyk, J., Entropy for intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems,118(3),2001, pp.467-477
[32] Zeng, W.Y., Li, H.X., Relationship between similarity measure and entropy of interval valuedfuzzy sets [J]. Fuzzy Sets and Systems,157(11),2006, pp.1477-1484
[33] Hung, W.L., Yang, M.S., On Similarity Measures between intuitionistic fuzzy sets [J].International Journal of General Systems,23(3),2008, pp.364-383
[34] Vlachos, I.K., Sergiadis, G.D., Intuitionistic fuzzy information-Applications to patternrecognition [J]. Pattern Recognition Letters,28(2),2007, pp.197-206
[35] Zhang, Q.S., Jiang, S.Y., A note on information entropy measures for vague sets [J].Information Science,178(21),2008, pp.4184-4191
[36] Zhang, H.Y., Zhang, W.X., Mei, C.L., Entropy of interval-valued fuzzy sets based on distanceand its relationship with similarity measure [J]. Knowledge-Based Systems,22(6),2009,pp.449-454
[37] Hung, W.L., Yang, M.S., Fuzzy entropy on intuitionistic fuzzy sets [J]. International Journalof General Systems,21(4),2006, pp.443-451
[38] Xu, Z.S., Intuitionistic Fuzzy Aggregation Operators [J]. IEEE Transactions on FuzzySystems,15(6),2007, pp.1179–1187
[39] Xu, Z.S., Yager, R.R., Some geometric aggregation operators based on intuitionistic fuzzysets [J]. International Journal of General Systems,35,2006, pp.417-433
[40] Zhao, H., Xu, Z.S., Ni, M.F., Liu, S.S., Generalized aggregation operators for intuionisticfuzzy sets [J]. Internation Journal of Intelligent Systems,25,2010, pp.1–30
[41] Xu, Y.J., Wang, H.M., The induced generalized aggregation operators for intuitionistic fuzzysets and their application in group decision making [J]. Applied Soft Computing,12,2012,pp.1168–1179
[42] Xu, Z.S., Approaches to multiple attribute group decision making based on intuitionisticfuzzy power aggregation operators [J]. Knowledge-Based Systems,24,2011, pp.749–760
[43] Wei, G.W., Some induced geometric aggregation operators with intuitionistic fuzzyinformation and their application to group decision making [J]. Applied Soft Computing,10,2010,pp.423–431
[44] Yang, W., Chen, Z.P., The quasi-arithmetic intuitionistic fuzzy OWA operators [J].Knowledge-Based Systems,27,2012, pp.219–233
[45] Yu, D.J., Wu, Y.Y., Lu, T., Interval-valued intuitionistic fuzzy prioritized operators and theirapplication in group decision making [J]. Knowledge-Based Systems,30,2012,57-66
[46] Wei, G.W., Zhao, X.F., Some induced correlated aggregating operators with intuitionisticfuzzy information and their application to multiple attribute group decision making [J]. ExpertSystems with Applications,39,2012, pp.2026–2034
[47] Zeng, S.Z., Su, W.H., Intuitionistic fuzzy ordered weighted distance operator [J].Knowledge-Based Systems,24,2011, pp.1224-1232
[48] Tan, C.Q., Chen, X.H., Intuitionistic fuzzy Choquet integral operator for multi-criteriadecision making [J]. Expert Systems with Applications,37,2010,149-157
[49] Xu, Z.S., Xia, M.M., Induced generalized intuitionistic fuzzy operators [J]. Knowledge-BasedSystems,24,2011, pp.197–209
[50] Herrera, F., Herrera-Viedma, E., Verdegay J.L., Direct approach processes in group decisionmaking using linguistic OWA operators [J]. Fuzzy Sets and Systems,79,1996, pp.175-190
[51] Zhou, L.G., Chen, H.Y., A generalization of the power aggregation operators for linguisticenvironment and its application in group decision making [J]. Knowledge-Based Systems,26,2012, pp.216-224
[52] Xu, Y., Merigo, J.M., Wang, H.M., Linguistic power aggregation operators and theirapplication to multiple attribute group decision making [J]. Applied Mathematical Modelling,36(11),2012, pp.5427-5444
[53] Xu, Z.S., A method based on linguistic aggregation operators for group decision making withlinguistic preference relations [J]. Information Sciences,166,2004, pp.19-30
[54] Xu, Z.S., Induced uncertain linguistic OWA operators applied to group decision making [J].Information Fusion,7,2006, pp.231-238
[55] Xu, Z.S., Uncertain linguistic aggregation operators based approach to multiple attributegroup decision making under uncertain linguistic environment [J]. Information Sciences,168,2004, pp.171-184
[56] Xu, Z.S., An approach based on the uncertain LOWG and induced uncertain LOWGoperators to group decision making with uncertain multiplicative linguistic preference relations [J].Decision Support Systems,41,2006, pp.488-499
[57] Wu, J., Cao, Q.W., Zhang, J.L., An ILOWG operator based group decision making methodand its application to evaluate the supplier criteria [J]. Mathematical and Computer Modelling,54,2011, pp.19-34
[58] Herrera, F., Martínez, L., A2-tuple fuzzy linguistic representation model for computing withwords [J]. IEEE Transactions on Fuzzy Systems,8,2000, pp.746-752
[59] Wang, J.H., Hao, J.Y., A new version of2-tuple fuzzy linguistic representation model forcomputing with words [J]. IEEE Transactions on Fuzzy Systems,14,2006, pp.435-445
[60] Wang, S.Y., Applying2-tuple multigranularity linguistic variables to determine the supplyperformance in dynamic environment based on product-oriented strategy [J]. IEEE Transactionson Fuzzy Systems,16,2008, pp.29-39
[61] Wang, J.H., Hao, J.Y., An approach to aggregation of ordinal information in multi-criteriamulti-person decision making using Choquet integral of Fubini type [J]. Fuzzy Optimization andDecision Making,8,2009, pp.365-380
[62] Dong, Y.C., Xu, Y.F., Li, H.Y., Feng, B., The OWA-based consensus operator under linguisticrepresentation models using position indexes [J]. European Journal of Operational Research,203,2010, pp.455-463
[63] Wei, G.W., A method for multiple attribute group decision making based on the ET-WG andET-OWG operators with2-tuple linguistic information [J]. Expert Systems with Applications,37,2010, pp.7895-7900
[64]姜艳萍,樊治平.二元语义信息集结算子的性质分析[J].控制与决策,18(6),2003,pp.754-757
[65]张尧,樊治平.一种基于语言集结算子的语言多指标决策方法[J].系统工程,24(12),2006, pp.98-101
[66] Yang, W., Chen, Z.P., New aggregation operators based on the Choquet integral and2-tuplelinguistic information [J]. Expert Systems with Applications,39,2012, pp.2662-2668
[67] Xu, Z.S., Dependent OWA operators, Lecture Notes in Artificial Intelligence,3885,2006,pp.172-178
[68] Wei, G.W., Zhao, X.F., Some dependent aggregation operators with2-tuple linguisticinformation and their application to multiple attribute group decision making [J]. Expert Systemswith Applications,39,2012, pp.5881-5886
[69]诸克军,张新兰,肖荔瑾. Fuzzy AHP方法及应用[J].系统工程理论与实践,12,1997,pp.64-69
[70] Buckly, J.J., Feuring, T., Hayashi. Y., Fuzzy hierarchical analysis revisited [J].EuropeanJournal of Operational Research,129(l),200l, pp.48-64
[71] Csutora, R., Buekley, J.J., Fuzzy hierarchical analysis: the Lambda-Max method [J].FuzzySets and Systems，120(2),2001, pp.181-195
[72]许若宁.Fuzzy判断矩阵的一致性修正[J].数学研究与评论,23(l),2003, pp.173-176
[73]李永,胡向红,乔箭.改进的模糊层次分析法[J].西北大学学报(自然科学版),35(1),2005, pp.11-12
[74]朱建军,刘十新,王梦光.一种新的求解区间数判断矩阵权重的方法[J].系统工程理论与实践,4,2005, pp.29-34
[75]魏翠萍,张玉忠,冯向前.区间数判断矩阵的一致性检验及排序方法[J].系统工程理论与实践,10,2007, pp.132-139
[76]冯向前,魏翠萍,李宗植,胡钢.三角模糊数互反判断矩阵的一致性及排序研究[J].统计与决策,4,2007, pp.27-28
[77] Xu, Z.S., Chen, J., Some models for deriving the priority weights from interval fuzzypreference relations [J]. European Journal of Operational Research,184(1),2008, pp.266-280
[78] Wang, T.C., Chen, Y.H., Applying fuzzy linguistic preference relations to the improvement ofconsistency of fuzzy AHP [J]. Information Sciences,178,2008, pp.3755-3765
[79]钱钢,冯向前,徐泽水.区间数互补判断矩阵的一致性[J].控制与决策,24(5),2009,pp.726-728
[80]江文奇.一种判断矩阵的不一致性调整方法[J].系统工程与电子技术,31(9),2009,pp.2129-2132
[81]徐华,邱彤,赵劲松.模糊判断矩阵构造和矩阵一致性检验的同步方法[J].清华大学学报(自然科学版),50(6),2010, pp.913-916
[82] Sun, C.C., A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSISmethods [J]. Expert Systems with Applications,37,2010, pp.7745-7754
[83] Chen, V.Y.C., Lien, H.P., Liu, C.H., Liou, J.J.H., Tzeng, G.H., Yang, L.S., Fuzzy MCDMapproach for selecting the best environment-watershed plan [J]. Applied Soft Computing,11,2011,pp.265-275
[84]尤天慧,樊治平.不确定性多属性决策中确定熵权的一种误差分析方法[J].系统工程,21(l),2003, pp.101-104
[85]尤天慧,樊治平,俞竹超.不确定性多属性决策中确定属性熵权的一种方法[J].东北大学学报(白然科学版),25(6),2004, pp.598-601
[86]朱方霞,陈华友.确定区间数决策矩阵属性权重的方法-熵值法[J].安徽大学学报(白然科版),30(5),2005, pp.4-6
[87]王美,张凤鸣,刘智.模糊信息的熵权多属性决策方案评估方法[J].系统工程与电子技术,28(10),2006, pp.1523-1525
[88] Chen, T.Y., Li, C.H., Determining objective weights with intuitionistic fuzzy entropymeasures: A comparative analysis [J]. Information Sciences,180(21),2010, pp.4207-4222
[89] Ye, J., Multicriteria fuzzy decision-making method using entropy weights-based correlationcoefficients of interval-valued intuitionistic fuzzy sets [J]. Applied Mathematical Modelling,34,2010, pp.3864-3870
[90]覃林,沈作奎.运用离差最大化方法计算灰色关联系数的权重[J].湖北民族学院学报(白然科学版),17(4),1999, pp.11-14
[91]周宏安,刘二阳.基于离差最大化模型的模糊多属性决策投影法[J].系统工程与电子技术,29(5),2007, pp.741-744
[92] Wu, Z.B., Chen, Y.H., The maximizing deviation method for group multiple attribute decisionmaking under linguistic environment[J].Fuzzy Sets and Systems,158(14),2007, pp.1608-1617
[93] Wei, G.W., Maximizing deviation method for multiple attribute decision making inintuitionistic fuzzy setting [J]. Knowledge-Based Systems,21,2008, pp.833-836
[94] Wang, Y.M., Luo, Y., Integration of correlations with standard deviations for determiningattribute weights in multiple attribute decision making [J]. Mathematical and Computer Modelling,51,2010, pp.1-12
[95] Li, D.F., Multiattribute decision making models and methods using intuitionistic fuzzy sets[J]. Journal of Computer and System Sciences,70,2005, pp.73-85
[96] Xu, Z.S., Multiple-Attribute Group Decision Making With Different Formats of PreferenceInformation on Attributes [J]. IEEE Transactions on Systems, Man and Cybernetics,37(6),2007,pp.1500-1511
[97] Li, D.F., Fuzzy multiattribute decision-making models and methods with incompletepreference information [J]. Fuzzy Sets and Systems,106,1999, pp.113-119
[98] Wang, Y.M., On fuzzy multiattribute decision-making models and methods with incompletepreference information [J]. Fuzzy Sets and Systems,151,2005, pp.285–301
[99]徐泽水.直觉模糊偏好信息下的多属性决策途径[J].系统工程理论与实践,11,2007,pp.62-71
[100]龚艳冰,梁雪春.基于组合模型的直觉模糊集多属性决策方法[J].控制与决策,25(3),2010, pp.469-472
[101] Sugeno, M. Theory of fuzzy integral and its applications [D]. Tokyo: Department of CompIntell&Syst Sci, Tokyo Institute of Technology,1974
[102]武建章,张强.基于2-可加模糊测度的多准则决策方法[J].系统工程理论与实践,30(7),2010, pp.1229-1237
[103]章玲,周德群.基于Choquet积分的层次多属性决策方法研究[J].南京航空航天大学学报,39(6),2007, pp.824-828
[104]高岩,周德群,刘晨琛.一种基于Choquet积分的多属性直觉模糊决策方法[J].数学的实践与认识,39(17),2009, pp.72-77
[105] Shieh, J.I., Wu, H.H., Liu, H.C., Applying a complexity-based Choquet integral to evaluatestudents’ performance [J]. Expert Systems with Applications,36,2009, pp.5100-5106
[106] Kojadinovic, I., Estimation of the weights of interacting criteria from the set of profiles bymeans of information-theoretic functionals [J]. European Journal of Operational Research,155,2004, pp.741-751
[107]徐泽水,达庆利.多属性决策的组合赋权方法研究[J].中国管理科学,10(2),2002,pp.84-87
[108]陈华友.多属性决策中基于离差最大化的组合赋权方法[J].系统工程与电子技术,262,2004, pp.194-197
[109]周宇峰,魏法杰.基于相对熵的多属性决策组合赋权方法[J].运筹与管理,2006,15(5),pp.48-53
[110]陈伟,夏建华.综合主、客观权重信息的最优组合赋权方法[J].数学的实践与认识,37(l),2007, pp.17-22
[111]梁彦刚,唐国金,闫野.投影寻踪模型在多属性决策中的应用[J].运筹与管理,17(6),2008, pp.93-97
[112] Wang, T.C., Lee, H.D., Developing a fuzzy TOPSIS approach based on subjective weightsand objective weights [J]. Expert Systems with Applications,36,2009, pp.8980-8985
[113] Wang, J.R., Fan, K., Wang, W.S., Integration of fuzzy AHP and FPP with TOPSISmethodology for aeroengine health assessment [J]. Expert Systems with Applications,37,2010,pp.8516-8526
[114] Xia, M.M., Xu, Z.S., Entropy/cross entropy-based group decision making underintuitionistic fuzzy environment [J]. Information Fusion,13(1),2012, pp.31-47
[115] Atanassov, K.T., Gargov, G., Interval-valued intuitionistic fuzzy sets [J]. Fuzzy Sets andSystems,31,1989, pp.343-349
[116] Szmidt, E., Kacprzyk, J., Some problems with entropy measures for the Atanassovintuitionistic fuzzy sets, Lecture Notes in Computer Science,4578,2007, pp.291-297
[117] Zadeh, L.A., Fuzzy sets [J]. Information and Control,8,1965, pp.338-353
[118] Atanassov, K., Intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems,20,1986, pp.87-96
[119] Zadeh, L.A., The concept of a linguistic variable and its application to approximatereasoning-I [J]. Information Sciences,8,1975, pp.199-249
[120] Gau, W., Buehrer, D., Vague sets [J]. IEEE Transactions on Systems, Man and Cybernetics,23(2),1993, pp.610-614
[121] Bustince, H., Burillo, P., Vague sets are intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems,79(3),1996, pp.403-405
[122] Atnaassov, K.T., New operations defined over the intuitionistic fuzzy sets [J]. Fuzzy Setsand Systems,61,1994, pp.137-142
[123] Sambuc, R., Functions Ф-Flous Application a l’aide au Diagnostic en PathologieThyroidienne, These de Doctorat en Merseille,1975
[124]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[J].控制与决策,22(2),2007, pp.215-219
[125] Xu, Z.S., Some similarity measures of intuitionistic fuzzy sets and their applications tomultiple attribute decision making [J]. Fuzzy Optimization and Decision Making,6,2007,pp.109-121
[126] Chen, S.M., Hsiao, W.H., Jong, W.T., Bidirectional approximate reasoning based oninterval-valued fuzzy sets [J]. Fuzzy Sets and Systems,91,1997, pp.339-353
[127] Zadeh, L.A., Fuzzy sets and systems. In： Proc Symp on Systems Theory, PolytechnicInstitute of Brooklyn, New York,1965, pp.29-37
[128] Kaufmann, A., Introduction to the Theory of Fuzzy Subsets [M.] Academic Press, New York,1975
[129] Yager, R.R., On measure of fuzziness and fuzzy complements [J]. International Journal ofGeneral Systems,8,1982, pp.169-180
[130]Ye, J., Two effective measures of intuitionistic fuzzy entropy [J]. Computing,87(1-2),2010,pp.55-62
[131] De, S.K., Biswas, R., Roy, A.R., Some operations on intuitionistic fuzzy sets [J]. Fuzzy Setsand Systems,114,2000, pp.477-484
[132] Wei, G.W., Wang, X.R., Some geometric aggregation operators on interval-valuedintuitionistic fuzzy sets and their application to group decision making, In Proceedings of ICCIS2007
[133]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[J].控制与决策,22(2),2007, pp.215-219
[134]徐泽水,陈剑.一种基于区间直觉判断矩阵的群决策方法[J].系统工程理论与实践,27,2007, pp.126-133
[135] Xu, Z.S., Chen, J., On geometric aggregation over interval-valued intuitionistic fuzzyinformation. In Proceedings of Fourth International Conference on Fuzzy Systems and KnowledgeDiscovery,2007
[136] Ye, J., Multicriteria fuzzy decision-making method based on a novel accuracy fuction underinterval-valued intuitionistic fuzzy environment [J]. Expert Systems with Applications,36,2009,pp.6899-6902
[137] Wang, Z.J., Li, K.W., Wang, W.Z., An approach to multiattribute decision making withinterval-valued intuitionistic fuzzy assessments and incomplete weights [J]. Information Sciences,179,2009, pp.3026-3040
[138] Gomathi Nayagam, V.L., Muralikrishnan, S., Sivaraman, G., Multi-criteria decision-makingmethod based on interval-valued intuitionistic fuzzy sets [J]. Expert Systems with Applications,38(3),2011, pp.1464-1467
[139] Park, D.G., Kwun, Y.C., Park, J.H., Park, Y., Correlation coefficient of interval-valuedintuitionistic fuzzy sets and its application to multiple attribute group decision making problems[J]. Mathematical and Computer Modelling,50,2009, pp.1279-1293
[140] Wei, G.W., Wang, H.J., Lin, R., Application of correlation coefficient to interval-valuedintuitionistic fuzzy multiple attribute decision-making with incomplete weight information [J].Knowledge and Information Systems,26(2),2011, pp.337-349
[141] Ye, F., An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers forvirtual enterprise partner selection [J]. Expert Systems with Applications,37,2010, pp.7050-7055
[142] Park, J.H., Park, I.Y., Kwun, Y.C., Tan, X.G., Extension of the TOPSIS method for decisionmaking problems under interval-valued intuitionistic fuzzy environment [J]. AppliedMathematical Modelling,35,2011, pp.2544-2556.
[143] Li, D.F., TOPSIS-based nonlinear-programming methodology for multiattribute decisionmaking with interval-valued intuitionistic fuzzy sets [J]. IEEE Transaction on Fuzzy Systems,18(2),2010, pp.299-311
[144] Li, D.F., Linear programming method for MADM with interval-valued intuitionistic fuzzysets [J]. Expert Systems with Applications,37,2010, pp.5939-5945
[145] Wang, W., Wang, Z., An approach to multi-attribute interval-valued intuitionistic fuzzydecision making with incomplete weight information, In Proceedings of Fifth InternationalConference on Fuzzy Systems and Knowledge Discovery,2008
[146] Wang, Z., Wang, W., Li, K.W., Multi-attribute decision making models and methods underinterval-valued intuitionistic fuzzy environment, In Proceedings of the2008Chinese Control andDecision Conference,2008
[147] Bustince, H., Burillo, P., Correlation of interval-valued intuitionistic fuzzy sets [J]. FuzzySets and Systems,74,1995, pp.237-244
[148]徐泽水,达庆利.一种基于可能度的区间判断矩阵排序法[J].中国管理科学,11(1),2003, pp.63-65
[149] Xu, R.N., Zhai, X.Y., Extensions of the analytic hierarchy process in fuzzy environment [J].Fuzzy Sets and Systems,52,1992, pp.251-257
[150] Park, K.S., Kim, S.H., Tools for interactive multi-attribute decision making withincompletely identified information [J]. European Journal of Operational Research,98,1997,pp.111-123
[151] Kim, S.H., Ahn, B.S., Interactive group decision making procedure under incompleteinformation [J]. Europe Journal of Operation Research,116,1999, pp.498-507
[152]谢季坚,刘承平.模糊数学方法及其应用[M].武汉：华中科技大学出版社,2006
[153] Chen, C.T., Extensions of the TOPSIS for group decision-making under fuzzy environment[J]. Fuzzy Sets and Systems,114,2000, pp.1-9
[154] Li, D.F., Yang, J.B., Fuzzy linear programming technique for multiattribute group decisionmaking in fuzzy environments [J]. Information Science,158,2004, pp.263-275
[155] Xu, Z.S., Chen, J., An interactive method for fuzzy multiple attribute group decision making[J]. Information Science,177,2007, pp.248-263
[156] Luo, Z.M., Zhou, J.Z., Zheng, L.P., Mo, L., He, Y.Y., A TFN-ANP based approach toevaluate Virtual Research Center comprehensive performance [J]. Expert Systems withApplications,37,2010, pp.8379-8386
[157] Yu, V.F., Hu, K.J., An integrated fuzzy multi-criteria approach for the performanceevaluation of multiple manufacturing plants [J]. Computers&Industrial Engineering,58,2010,pp.269-277.
[158] Bordogna, G., Fedrizzi, M., Pasi, G., A linguistic modeling of consensus in group decisionmaking based on OWA operators [J]. IEEE Transactions on Systems, Man and Cybernetics,27,1997, pp.126-133
[159] Hung, K.C., Julian, P., Chien, T., Jin, W.T., A decision support system for engineering designbased on an enhanced fuzzy MCDM approach [J]. Expert Systems with Applications,37,2010,pp.202-213
[160] Chou, C.C., Kuo, F.T., Gou, R.H., Tsai, C.L., Wong, C.P., Tsou, M.C., Application of acombined fuzzy multiple criteria decision making and optimization programming model to thecontainer transportation demand split [J]. Applied Soft Computing,10,2010, pp.1080-1086
[161] Herrera, F., Alonso, S., Chiclana, F., Herrera-Viedma, E., Computing with words indecision making：foundations, trends and prospects [J]. Fuzzy Optimization and Decision Making,8,2009, pp.337-364
[162] Martínez, L., Ruan, D., Herrera, F.,Computing with words in decision support systems: anoverview on models and applications [J]. International Journal of Computational IntelligenceSystems,3,2010, pp.382-395
[163] Herrera, F., Martínez, L., A model based on linguistic2-tuple for dealing with multi-granularhierarchical linguistic contexts in multi-expert decision-making [J]. IEEE Transactions on Systems,Man and Cybernetics,31,2001, pp.227-234
[164] Herrera, F., Martínez, L., Sanchez, P.J., Managing non-homogeneous information in groupdecision-making [J]. European Journal of Operational Research,166,2005, pp.115-132
[165] Martínez, L., Liu, J., Ruan, D., Yang, J.B., Dealing with heterogeneous information inengineering evaluation processes [J]. Information Sciences,177,2007, pp.1533-1542
[166] Wang, W.P., Toward developing agility evaluation of mass customization systems using2-tuple linguistic computing [J]. Expert Systems with Applications,36,2009, pp.3439-3447
[167] Andrés, R., García-Lapresta, J.L., Martínez, L., A multi-granular linguistic model formanagement decision-making in performance appraisal [J]. Soft Computing,142010, pp.21-34
[168] Wang, W.P., A fuzzy linguistic computing approach to supplier evaluation [J]. AppliedMathematical Modelling,34,2010, pp.3130-3141
[169] Chang, K.H., Wen, T.C., A novel efficient approach for DFMEA combining2-tuple and theOWA operator [J]. Expert Systems with Applications,37,2010, pp.2362-2370
[170]林健,兰继斌,林耀海.基于区间二元语义集结算子的多属性群决策方法[J].吉林师范大学学报,1,2009, pp.5-9
[171] Chen, C.T., Tai, W.S., Measuring the intellectual capital performance based on2-tuple fuzzylinguistic information, in： Proceedings of the10th annual meeting of Asia pacific region ofdecision sciences institute, Taiwan,2005, pp.20
[172] Herrera, F., Herrera-Viedma, E., Martínez, L., A fusion approach for managingmulti-granularity linguistic terms sets in decision making [J]. Fuzzy Sets and Systems,114,2000,pp.43-58
[173] Chen, S.M., Tan, J.M., Handling multicriteria fuzzy decision-making problems based onvague set theory [J]. Fuzzy Sets and Systems,67,1994, pp.163-172
[174] Hong, D.H., Choi, C.H., Multicriteria fuzzy decision-making problems based on vague settheory [J]. Fuzzy Sets and Systems,114,2000, pp.103-113
[175] Yager, R.R., Generalized OWA aggregation operators [J]. Fuzzy Optimization and DecisionMaking,3,2004, pp.93-107
[176] Herrera, F., Herrera-Viedma, E., Linguistic decision analysis: Steps for solving decisionproblems under linguistic information [J]. Fuzzy Sets and Systems,115,2000, pp.67-82
[177]柳卸林.对服务创新研究的一些评论[J].科学学研究,23(6),2005, pp.856-860
[178] Kotler P. Marketing management [M]. NJ, Upper Saddle River, Pearson Education,2003
[179] Menor, L.J., Roth, A.V., New service development competence and performance: anempirical investigation in retail banking [J]. Production&Operations Management,17(3),2008,pp.267-284
[180] Paton R.A., Mclaughlin, S., The services science and innovation series [J]. EuropeanManagement Journal,26(2),2008, pp.75-76
[181] Sundbo, J., Customer-based innovation of knowledge e-services: the importance ofafter-innovation [J]. International Journal of Services Technology&Management,2008,9(3),pp.218-233
[182]Thorsell, J., Innovation in learning: how the danish leadership institute developed2200managers from fujitsu services from13different countries [J]. Management Decision,45(10),2007, pp.1667-1676
[183] Drejer, I., Identifying innovation in surveys of services: a Schumpeterian perspective [J].Research Policy,33(3),2004, pp.551-562
[184]蔺雷,吴贵生.服务创新研究现状、概念界定及特征描述[J].科研管理,26(2),2005,pp.1-6
[185] Blazvic, V., Lievens, A., Managing innovation through customer coproduced knowledge inelectronic services： An exploratory study [J]. Journal of the Academy of Marketing Science,36(1),2008, pp.138-151
[186] Barras, R., Towards a theory of innovation in services [J]. Research Policy,15,1986,pp.161-173
[187] Bilderbeek, R., Hertog, P., Marklund, G., and Miles, D., Service Innovation: KnowledgeIntensive Business Service As Co-producers of Innovation[R]. SI4S Project synthesis, WorkPackage5/6,1998,8
[188]原毅军,刘浩.服务创新衡量研究综述[J].科技进步与对策,27(3),2010, pp.153-156
[189] Gallouj, F., Weinstein, O., Innovation in services [J]. Research Policy,26(4,5),1997,pp.537-556
[190] Coombs, R., Miles, I., Innovation, measurement and services: The new problematic. In:Metcalfe, J.S., Miles, I.(Eds.), Innovation Systems in the Service Economy. Measurement andCase Study Analysis[M]. Boston, Kluwer Academic Publishers,2000, pp.85-103
[191] Djellal, F., Gallouj, F., Patterns of innovation organization in service firms: Portal surveyresults and theoretical models. Science and Public Policy,28(1),2001, pp.57-67
[192]汪涛,蔺雷.服务创新研究:二十年回顾与展望[J].软科学,24(5),2010, pp.17-20
[193] Gallouj, F., Economics of Innovation in Service [M]. Paris: Loqiques economiques,1994
[194] Cooper, R.G., Easingwood, C.J., Edgett, S., Kleinschmidt, E.J., Storey, C., Whatdistinguishes the top performing new products in financial services [J]. Journal of ProductInnovation Management,11(4),1994, pp.281-299
[195] Gainelli, G., Evangelista, R., Savona, M., Innovation and economic performance in services:a firm-evel analysis [J]. Cambridge Journal of Economics,30(3),2006, pp.435-458
[196] Minna, K., Hugo, H., Anthony, A., Can we measure and compare innovation in services?
［R］.2006Trend Chart Report,2006
[197]舒伯阳.基于BSC的服务创新成长绩效评估[J].中南财经政法大学学报,6,2005,pp.45-49
[198]鲁琨,高强.创新、服务质量与绩效: B2C电子商务业实证研究[J].科学学研究,27(7),2007, pp.1110-1120
[199]张德海，刘德文.联盟式物流服务创新的绩效评价指标体系构建[J].统计与决策,12,2010, pp.37-38
[200]苏敬勤,张竟浩,崔淼.企业家导向、组织能力对服务创新绩效的影响研究—基于我国东北地区大中型制造业企业的实证分析[J].技术经济,28(11),2009, pp.1-6
[201] Cardozo, R.N., An experimental study of customer, effort, expectation and satisfaction [J].Journal of Marketing Research,2,1965, pp.244-249
[202] Howard, J.A., Jagdish, N.S., The Theory of Buyer Behavior [M]. New York Wi1ey,1969,pp.27-28
[203]01iver, R.L., Measurement and Evaluation of Satisfaction Processes in Retailing Setting [J].Journal of Retailing,57(3),1981, pp.25-48
[204]菲利普·科特勒著,梅汝,梅清豪，周安柱译.营销管理[M].北京：中国人民大学出版社,2001
[205] Reicheld, F.F., Sasser W.E., Jr., Zero defections: quality comes to services [J]. HarvardBusiness Review,65(8),1990, pp.105-111
[206] Aderson, E.W., Sullivan, M.W., The Antecedents and Consequences of CustomerSatisfaction for Firms [J]. Marketing Science,12(2),1993, pp.125-143
[207] Dbholkar, P.A., Thorpe, D.I., Does customer satisfaction predict shopper intentions?[J].Journal of Consumer Satisfaction,7,1994, pp.161-171
[208] Gomez, M.I., McLaughlin, E.W., Wittink, D.R., Customer satisfaction and retail salesperformance: an empirical investigation [J]. Journal of Retailing,80,2004, pp.265-278
[209] Chevalier, J.A., Mayzlin, D., The Effect of Word of Mouth on Sales: Online Book Reviews[J]. Journal of Marketing Research,43(3),2006, pp.345-354
[210] Matzler, K., Hinterhuber, H., Daxer, C., Huber, M., The relationship between customersatisfaction and shareholder value [J]. Total Quality Management&Business Excellence,16(5),2005, pp.671-680
[211] Gruca, T.S., Rego, L.L., Customer satisfaction, cash flow, and shareholder value [J]. Journalof Marketing,69,2005, pp.115-130
[212] Mittal, V., Anderson, E.W., Sayrak, A., Tadikamalla, P., Dual emphasis and the longtermfinancial impact of customer satisfaction [J]. Marketing Science,24(4),2005, pp.544-555
[213] Fornell, C., Mithas, S., Morgeson, F., Krishnan, M.S., Customer satisfaction and stockprices: High returns, low risk [J]. Journal of Marketing,70(1),2006, pp.3-14
[214]黄劲松,赵平,王高等.基于顾客角度的市场占有率研究[J].中国管理科学,12(2),2004, pp.95-100
[215]王毅,赵平.顾客满意度与企业股东价值关系研究[J].管理科学学报,13(6),2010,pp.54-63
[216] Oliver, R.L., A Cognitive Model of the Antecedents and Consequence of SatisfactionDecisions [J]. Journal ofMarketing Research,17,1980, pp.460-469
[217] Kano, N., Seraku, F., Takahashi, F., Tsuji, S., Attractive quality and must-be quality [J]. TheJournal of the Japanese Society for Quality Control,14(2),1984, pp.39-48
[218] Fornell, C., A National Customer Satisfaction Barometer: the Swedish Experience [J].Journal of Marketing,56(1),1992, pp.6-21
[219] Anderson E.W., Fornell C., Foundations of the American Customer Satisfaction Index [J].Total Quality Management, l1(9),2000, pp.869-82
[220]吴冠之,张艳妍. B2C环境下感知服务质量与顾客满意度的关系研究[J].北京邮电大学学报(社会科学版),10(15),2008, pp.1-5
[221]陈湘青.一种新顾客满意度指数测评模型的实证研究[J].消费经济,23(5),2007,pp.69-73
[222]禹银艳,杨姗媛. B2C电子商务顾客满意度测评研究[J].统计与决策,20,2009,pp.187-188
[223]聂风华,魏强.基于二维顾客满意度模型的学生公寓管理评价[J].清华大学学报(自科学版),50(6),2010, pp.952-956
[224]马万里,孙秀娟.零售业顾客满意度测评研究[J].商业研究,12,2006, pp.4-6
[225]王高，李飞，陆奇斌.中国大型连锁综合超市顾客满意度实证研究-基于20家大型连锁综合超市的全国调查数据[J].管理世界,6,2006, pp.101-110
[226] Lewis, R.C., Booms, B.H., The marketing aspects of service quality in emergingperspectives on services marketing. In: Berry, L., Shostack, G,, Upah, G., ed. Chicago: AmericanMarketing,1983, pp.99-107
[227] Gronroos, C., A service quality model and its marketing implications [J]. European Journalof Marketing,18(4),1984, pp.36-44
[228] Garvin, D.A., What Does “Produce Quality” Really Mean [J]. Sloan Management Review，3,1984, pp.25-43
[229] Rust, R., Oliver, R., Service quality: New direction in theory and practice [M]. ThousandOaks, CA: Sage,1994
[230] Lehtinen, U., Lehtinen, J., Service quality: a study of quality dimensions. Working Paper,University of Tampere, Finland,1983
[231] Parasuraman, A., Zeithaml, V.A., Berry, L.L., SERVQUAL: A multiple-item scale formeasuring consumer perceptions of service quality [J]. Journal of Retailing,64(1),1988, pp.12-41
[232] Carman, J.M., Consumer perceptions of service quality: an assessment of the SERVQUALdimensions [J]. Journal of Retailing,66(1),1990, pp.33-55
[233] Chiu, H.C., A study on the cognitive and affective components of service quality [J]. Totalquality management,13(2),2002, pp.265-274
[234] Edvardsson, B., Service quality: beyond cognitive assessment [J]. Managing Service Quality,15(2),2005, pp.127-131
[235]柴盈,韦福祥.服务质量内涵的综述与思考[J].科技与管理,3,2004, pp.36-38
[236] Sasser, W. E., Olsen, R.P., Wyckoff, D.D., Management of service operation: Text, cases,and readings [M]. Boston, MA: Allyn and Bacon,1978
[237] Gummesson, E., Service Quality and Product Quality Combined, Review of Business, St.John’s University, Winter,1988
[238] Edvardsson, B., Management consulting: towards a successful relationshio [J]. Internationaljournal of service industry management,1(3),1989, pp4-19
[239] Parasuraman, A., Zeithaml, V.A., Berry, L.L., A Conceptual Model of Service Quality andIts Implications for Future Research [J]. Journal of Marketing,49(4),1985, pp.41-50
[240] Cronin, J.J., Taylor, S.A., Measuring Service Quality: Are Examination and Extension [J].Journal of Marketing,56(3),1992, pp.55-68
[241]汪纯孝,岑成德,朱伉等.服务性企业整体质量管理[M].广州:中山大学出版社,1999
[242]宋彦军. TOM/ISO9000与服务质量管理［M］.北京：机械工业出版社，2004
[243]叶万春,王红.服务质量［M］.北京：高等教育出版社,2010
[244] Wilkins, H., Merrilees, B., Herington, C., Towards an understanding of total service qualityin hotels [J]. Hospitality Management,26,2007, pp.840-853
[245] Zeithaml,V.A., Parasuraman,A., Malhotra, A., A conceptual framework for understandinge-service quality: implications for future research and managerial practice. Marketing ScienceInstitute Working Paper, Report,2000
[246] Yang, Z., Peterson, R.T., Huang, L., Taking the Pulse of Internet Pharmacies［J］. MarketingHealth Services,21(2),2001, pp.5-10
[247] Kaynama, S.A., Black, C.I., A proposal to assess the service quality of onlinetravel agencies:an exploratory study [J]. Journal of Professional Services Marketing,21(1),2000, pp.63-88
[248] Wolfinbarger, M., Gilly, M.C., comQ: Dimensionalizing, Measuring, and Predicting Qualityof the E-tail Experience. Marketing Science Institute Working Paper, Report,2002
[249] Oliver, R.L.,“Conceptualization and Measurement of Disconfirmation Perceptions in thePrediction of Consurmer Satisfaction” in Hunt, K., Day, R.L., Refining Concepts and Measures ofConsumer Satisfaction and Complaining Behavior [C]. Bloomington: Indiana University,1980,pp.2-6
[250] Bolton, R.N., Drew, J.H., A Multistage Model of Customers’ Assessments of ServiceQuality and Value [J]. Journal of Consumer Research,17,1991, pp.375-384
[251] Zeithaml, A., Berry, L.L., Parasuraman, A., Communication and control process in thedelivery of service quality [J]. Journal of Marketing,52(2),1988, pp.35-48
[252] Woodside, A.G., Frey, L.L., Daly, R.T., Linking service quality, customer satisfaction, andbehavioral intention [J]. Journal of Health Care Marketing,9(4),1989, pp.5-17
[253] Brady, M.K., Cronin, J.J., Some new thoughts on conceptualizing perceived service quality:a hierarchical approach [J]. Journal of Marketing,65(7),2001, pp.34-49
[254]韦福样.顾客感知服务质量与顾客满意相关关系实证研究[J].天津商学院学报,23(1),2003, pp.21-25
[255] Collier, J.E., Bienstock, C.C., Measuring service quality in e-retailing [J]. Journal of ServiceResearch,8(3),2006, pp.260-275
[256] Park, C.H., Kim, Y.G., The effect of information satisfaction and relational benefit ofconsumers’ online shopping site commitments [J]. Journal of Electronic Commerce inOrganizations,4(1),2006, pp.70-90
[257]吴冠之,张艳妍. B2C环境下感知服务质量与顾客满意度的关系研究[J].北京邮电大学学报(社会科学版),10(15),2008, pp.1-5
[258] Kuo, Y.F., Wu, C.M., Deng, W.J., The relationships among service quality, perceived value,customer satisfaction,and post-purchase intention in mobile value-added services [J]. Computersin Human Behavior,25,2009, pp.887-896
[259] Heesup, H., Wansoo, K., Sunghyup, S.H., Switching intention model development: Role ofservice performances, customer satisfaction, and switching barriers in the hotel industry [J].International Journal of Hospitality Management,30,2011, pp.619-629
[260]王永贵.服务质量、顾客满意与顾客价值的关系剖析-基于电信产业的整合框架[J].武汉理工大学学报(社会科学版),1(6),2002, pp.579-587
[261]张雪兰.服务质量与顾客满意:基于银行业的实证研究[J].统计与决策,10,2005,pp.109-112
[262]陆娟,芦艳,娄迎春.服务忠诚及其驱动因素:基于银行业的实证研究[J].管理世界,8,2006, pp.94-103
[263]王海忠,于春玲,赵平.银行服务质量与顾客满意度的研究[J].中山大学学报(社会科学版),6,2006, pp.107-125
[264]刘宏伟,齐二石.基于AHP-FCE法的管理咨询企业顾客满意度研究[J].科技进步与对策,27(12),2010, pp.116-119
[265]李峰平,周余庆,李沛,何涛.顾客满意度的双维层次灰色评价方法[J].统计与决策,17,2009, pp.178-179
[266]李玉惠,段万春,徐晓军.基于灰色理论的企业顾客满意度测评分析[J].商业研究,24,2006, pp.14-17
[267]戴卓,代红梅.基于因子和聚类分析的个人网上银行顾客满意度研究[J].生产力研究,2,2010,pp.88-89
[268]孙华丽,谢剑英,薛耀锋.基于支持向量机的物流服务顾客满意度评价模型[J].上海交通大学学报,40(4),2006, pp.684-688
[269] Hu, Y.C., Liao, P.C., Finding critical criteria of evaluating electronic service quality ofInternet banking using fuzzy multiple-criteria decision making [J]. Applied Soft Computing,11,2011, pp.3764-3770
[270]宗鹏,曾凤章.顾客满意度的TOPSIS算法研究[J].商业研究,19,2006, pp.49-51
[271]林盛.基于PLS结构方程模型的服务行业顾客满意度测评方法及应用研究[D].天津大学博士学位论文.2002
[272]黄燕玲,黄震方,袁林旺.基于SEM的饭店顾客满意度测评模型研究[J].旅游学刊,21(11), pp.54-60
[273]刘燕,陈英武.电子政务顾客满意度指数模型实证研究[J].系统工程,24(5),2006,pp.50-56
[274]赵耀华,韩之俊.基于结构方程的高校顾客满意度模型[J].系统工程,25(11),2007,pp.85-90
[275] Hauser, J.R., Clausing, D., The House of Quality [J]. Harvard Business Review,66(3),1988,pp.63-73
[276] Chin, K.S., Pun, K.F., Leung, W.M., Lau, H., A quality function deployment approach forimproving technical library and information services: A case study [J]. Library Management,22(4,5),2001, pp.195-204
[277] Nibbelke, R., Ferro, D., Hoogeboom, P., Design and evaluation with the human in mind [J].AIR and Space Europe,3(3-4),2001, pp.218-220
[278] Dijkstra, L., Bij, H.V.D., Quality function deployment in health care: Methods for meetingcustomer requirements in redesign and renewal [J]. International Journal of Quality and ReliabilityManagement,19(1),2002, pp.67-89
[279] Duffuaa, S.O., Al-Turki, U.M., Hawsawi, F.M., Quality and reliability corner qualityfunction deployment for designing a basic statistics course [J]. InternationalJournal of Quality andReliability Management,20(6),2003, pp.740-750
[280] Chou, S.M., Evaluating the service quality of undergraduate nursing education inTaiwan-Using quality function deployment [J]. Nurse Education Today,24(4),2004, pp.310-318
[281]Gerst, R.M., QFD in large-scale social system redesign [J]. International Journal of Qualityand Reliability Management,21(9),2004, pp.959-972
[282] Leprevost, J., Mazur, G., Quality infrastructure improvement: Using QFD to manage projectpriorities and project management resources [J]. International Journal of Quality and ReliabilityManagement,22(1),2005, pp.10-16
[283] Lin, W.T., Hung, Y.H., Huang, C.T., Wu, C.C., A performance evaluation of the after-salesservice information systems provided by Taiwanese machine tool industry [J]. InternationalJournal of Management,22(1),2005, pp.112-126
[284] Omachonu, V., Barach, P., QFD in a managed care organization [J]. Quality Progress,38(11),2005, pp.36-41
[285] Moores, B.M., Radiation safety management in health care-The application of QualityFunction Deployment [J]. Radiography,12(4),2006, pp.291-304
[286] Pramod, V.R., et al., Methodology and theory integrating TPM and QFD for improvingquality in maintenance engineering [J]. Journal of Quality in Maintenance Engineering,12(2),2006, pp.150-171
[287] Miyoung, J., Haemoon, O., Quality function deployment: An extended framework forservice quality and customer satisfaction in the hospitality industry [J]. Hospitality Management,17,1998, pp.375-390
[288]刘玉敏,张晓丽,徐济超.顾客满意度测评的质量功能展开方法[J].系统工程理论与实践,9,2004, pp.20-27
[289]付利华,戴更新,王炬香.基于QFD的企业物流服务质量改进[J].青岛大学学报(自然科学版),19(4),2006, pp.56-60
[290]吴隽,王兰义,李一军.基于模糊质量功能展开的物流服务供应商选择研究[J].中国软科学,3,2010, pp.145-151
[291]孙洪.基于质量功能展开的顾客满意度研究[J].价值工程,1,2009, pp.95-98
[292]邱燕,何斌,李泽莹.基于质量功能展开的顾客满意研究[J].价值工程,11,2006,pp.67-70
[293]李剑青.制造企业技术服务的顾客满意度测评及应用研究[J].机械设计与研究,23(3),2007, pp.109-112
[294] Bhattacharya, A., Geraghty, J., Young, P., Supplier selection paradigm: An integratedhierarchical QFD methodology under multiple-criteria environment [J]. Applied Soft Computing,10,2010, pp.1013-1027
[295] Garibay, C., Gutiérrez, H., Figueroa, A., Evaluation of a Digital Library by Means ofQuality Function Deployment (QFD) and the Kano Model [J]. The Journal of AcademicLibrarianship,36(2),2010, pp.125-132
[296] Chen, Y.T., Chou, T.Y., Applying GRA and QFD to Improve Library Service Quality [J].The Journal of Academic Librarianship,37(3),2011, pp.237-245
[297] Khoo, L.P., Ho, N.C., Framework of a fuzzy quality function deployment system [J].International Journal of Production Research,34(2),1996, pp.299-311
[298] Chen, Y., Fung, R.Y.K., Tang, J., Fuzzy expected value modelling approach for determiningtarget values of engineering characteristics in QFD [J]. International Journal of ProductionResearch,43(17),2005, pp.3583-3604
[299] Chen, Y.Z., Ngai, E.W.T., A fuzzy QFD program modelling approach using the method ofimprecision [J]. International Journal of Production Research,46(24),2007, pp.1-18
[300] Bilderbeek, R., Hertog, P.D., Marklund, G., Miles, I., Service in innovation: KnowledgeIntensive Business Services (KIBS) as co-producers of innovation, the result of SI4S,1998,11
[301]蔺雷，吴贵生.服务创新的四维度模型[J].数量经济技术经济研究,3,2004, pp.32-37
[302]翟运开,倪燕翎,杜娟.物流服务创新模式：“四棱锥”模型研究[J].统计与决策,11,2006, pp.17-19
[303]葛垚,朱庆生.基于NET的网上银行服务系统的设计与开发[J].计算机工程,29(11),2003, pp.149-151
[304]中投顾问.2011-2015年中国网上银行市场投资分析及前景预测报告
[305]中国金融认证中心《2010中国电子银行调查报告》
[306] Davis, F.D., A technology acceptance model for empirically testing new end-userinformation system: theory and results[R]. Sloan School of management, Massachusetts Instituteof Technology,1986
[307] Guriting, P., Ndubisi, N.O., Borneo Online Banking: Evaluating Customer Perceptions andBehavioural Intention [J]. Management Research News,29(1,2）,2006, pp.6-15
[308]杨霖华.个人网上银行使用意向影响因素研究[J].科技管理研究,5,2007, pp.140-143
[309]米利群.关于影响网上银行顾客满意度因素的实证分析[J].河北大学学报(哲学社会科学版),34(4),2009, pp.50-55
[310]邢丘丹,雷婷,李云飞.网上银行信息安全产品顾客满意度影响因素的实证研究[J].西南民族大学学报(人文社会科学版),10,2010, pp.175-179
[311] Pikkarainen, T., Pikkarainen, K., Karijaluoto, H., Pahnila, S., Customer acceptance ofon-line banking: an extension of the technology acceptance model [J]. Internet Research,3,2004,pp.224-235
[312]刘刚,黄苏萍.用户控制感知对网上银行持续使用行为的影响分析[J].经济理论与经济管理,1,2010, pp.58-61
[313] Polatoglu, V.N., Ekin, S., An empirical investigation of the Turkish consumer’s acceptanceof internet banking service [J]. The International Journal of Bank Marketing,19(4),2001,pp.156-165
[314] Luarn, P., Lin, H., Toward an Understanding of the Behavioral Intention to Use MobileBanking [J]. Computers in Human Behavior,2(1),2005, pp.873-891
[315]吴晓云,焦勇兵.顾客采用网络银行的影响因素研究[J].南开管理评论,11(6),2008,pp.18-27
[316] Yoon, C., Antecedents of customer satisfaction with online banking in China: The effects ofexperience [J]. Computers in Human Behavior,26,2010, pp.1296-1304
[317] Suh, B., Han, I., Effect of trust on customer acceptance of Internet banking [J]. ElectronicCommerce Research and Applications,1,2002, pp.247-263
[318] Yui, C.S., Grant, K., Edgard, D., Factors affecting the adoption of Internet Banking in HongKong-implications for the banking sector [J]. International Journal of Information Management,27,2007, pp.336-351
[319] Bander Alsajjan, Charles Dennis. Internet banking acceptance model: Cross-marketexamination [J]. Journal of Business Research,63,2010, pp.957-963
[320] Liao, Z., Cheung, M.T., Internet-based e-banking and consumer attitudes: an empirical study[J]. Information&Management,39(4),2002, pp.283-295
[321] Al-Somali, S.A., Gholami, R., and Clegg, B., An investigation into the acceptance of onlinebanking in Saudi Arabia [J]. Technovation,29,2009, pp.130-141
[322] Fishbein, M., Ajzen, I., Belief, Attitude, Intention, and Behavior: An Introduction to Theoryand Research [M]. Reading, MA: Addison-Wesley,1975
[323] Ajzen, I., From intentions to actions: A theory of planned behavior, In J. Kuhl and J.Beckmann (eds), Action-control: From cognition to behavior, Heidelberg, Germany: Springer,1985, pp.11-39
[324] Tan, M., Teo, T.S.H., Factors Influencing the Adoption of Internet Banking [J]. Journal ofthe Association for Information Systems,1(5),2000, pp.1-42
[325]黄京华,李静婷.中国商业银行网上银行关键成功因素实证研究[J].系统工程理论与实践,3,2000, pp.16-24
[326]王文超.消费者对网上银行采用行为态度的影响因素研究一个基于TPB模型的延伸研究[J].生产力研究,7,2010, pp.74-76
[327] Lee, M.C., Factors influencing the adoption of internet banking: An integration of TAM andTPB with perceived risk and perceived benefit [J]. Electronic Commerce Research andApplications,8,2009, pp.130-141
[328]戴卓,李再跃.基于计划行为理论的个人网上银行使用研究[J].数学的实践与认识,40(13),2010, pp.88-94
[329]刘刚,黄苏萍.用户控制感知对网上银行持续使用行为的影响分析[J].经济理论与经济管理,1,2010, pp.58-61
[330] Mathieson, K., Predicting User Intentions: Comparing the Technology Acceptance Modelwith the Theory of Planned Behavior [J]. Information Systems Research,2(3),1991, pp.173-191
[2] Hwang, C.L., Lin, M.J., Group Decision Making under Multiple Criteria: Methods andApplications [M]. Berlin: Springer,1987
[3] Hwang, C.L., Yoon, K., Multiple Attribute Decision Making: Methods and Applications[M].Springer, Berlin, Heideberg, New York,1981
[4] Atanassov, K., Intuitionistic fuzzy sets: theory and applications, Physica-Verlag, Wyrzburg,1999
[5] Szmid, E., Kacprzyk, J., On measuring distances between intuitionistic fuzzy sets [J]. NotesIFS3,1997, pp.1-13
[6] Szmidt, E., Kacprzyk, J., Distances between intuitionistic fuzzy sets [J]. Fuzzy Sets andSystems,114,1997, pp.505-518
[7] Chen, S.M., Measures of similarity between vague sets [J]. Fuzzy Sets and Systems,74(2),1995, pp.217-223
[8] Chen, S.M., Similarity measures between vague sets and between elements [J]. IEEETransactions on Systems, Man and Cybernetics,27(1),1997, pp.153-158
[9] Li, D., Cheng, C., New similarity measures of intuitionistic fuzzy sets and application topattern recognition [J]. Pattern Recognition Letters,23,2002, pp.221-225
[10] Liang, Z., Shi, P., Similarity measures on intuitionistic fuzzy sets [J]. Pattern RecognitionLetters,24,2003, pp.2687-2693
[11] Mitchell, H.B., On the Dengfeng-Chuitian similarity measure and its application to patternrecognition, Pattern Recognition Letters,24,2003, pp.3101-3104
[12] Wang, W., Xin, X., Distance measure between intuitionistic fuzzy sets [J]. PatternRecognition Letters,26,2005, pp.2063-2069
[13] Liu, H.W., New Similarity Measures Between Intuitionistic Fuzzy Sets and BetweenElements [J]. Mathematical and Computer Modelling,42,2005, pp.61-70
[14] Vlachos, K.I., Sergiadis, G.D., Intuitionistic fuzzy information-applications to patternrecognition [J]. Pattern Recognition Letters,28,2007, pp.197-206
[15] Hung, W.L., Yang, M.S., On Similarity Measures between intuitionistic fuzzy sets [J].International Journal of Intelligent Systems,23,2008, pp.364-383
[16] Xu, Z.S., Chen, J., An overview of distance and similarity measures of intuitionistic fuzzysets [J]. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems,16,2008,pp.529-555
[17] Szmidt, E., Kacprzyk, J., A similarity measure for intuitionistic fuzzy sets and its applicationin supporting medical diagnostic reasoning [J]. Lecture Notes in Artificial Intelligence,3070,2004,pp.388-393
[18] Xu, Z.S., Yager, R.R., Intuitionistic and interval-valued intutionistic fuzzy preferencerelations and their measures of similarity for the evaluation of agreement within a group [J]. FuzzyOptimization and Decision Making,8,2009, pp.123-139
[19] Xia, M.M., Xu, Z.S., Some new similarity measures for intuitionistic fuzzy values and theirapplication in group decision making [J]. Journal of Systems Science and Systems Engineering,19,2010, pp.430-452
[20] Wei, C.P., Wang, P., Zhang, Y.Z., Entropy, similarity measure of interval-valuedintuitionistic fuzzy sets and their applications [J]. Information Sciences,181,2011, pp.4273-4286
[21] Ye, J., Cosine similarity measures for intuitionistic fuzzy sets and their applications [J].Mathematical and Computer Modelling,53,2011, pp.91-97
[22] Hwang, C.M., Yang, M.S., Hung, W.L., Lee, M.G., A similarity measure of intuitionisticfuzzy sets based on the Sugeno integral with its application to pattern recognition [J]. InformationSciences,189,2012, pp.93-109
[23] Li, J.Q., Deng, G.N., Li, H.X., Zeng, W.Y., The relationship between similarity measure andentropy of intuitionistic fuzzy sets [J]. Information Sciences,188,2012, pp.314-321
[24] De Luca, A., Termini, S., A definition of non-probabilistic entropy in the setting of fuzzy setstheory [J]. Information and Control,20,1972, pp.301-312
[25] Kaufmann, A., Introduction to the theory of fuzzy Subsets, Fundamental TheoreticalElements [M]. Academic Press, NewYork,1975
[26] Liu, X.C., Entropy, distance measure and similarity measure of fuzzy sets and their relations[J]. Fuzzy Sets and Systems,52(3),1992, pp.305-318
[27] Shang, X.G., Jiang, W.S., A note on fuzzy information measures [J]. Pattern RecognitionLetters,18(5),1997, pp.425-432
[28] Yager, R.R., On the measure of fuzziness and negation. Part I: Membership in the unitinterval [J]. International Journal of General Systems,5,1979, pp.189-200
[29] Zadeh, L.A., Fuzzy sets and systems [M]. Proceedings of the Symposium on Systems, TheoryPolytechnic Institute of Brooklyn, New York,1965, pp.29-37
[30] Burillo, P., Bustince, H., Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets[J]. Fuzzy Sets and Systems,78(3),1996, pp.305-316
[31] Szmid, E., Kacprzyk, J., Entropy for intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems,118(3),2001, pp.467-477
[32] Zeng, W.Y., Li, H.X., Relationship between similarity measure and entropy of interval valuedfuzzy sets [J]. Fuzzy Sets and Systems,157(11),2006, pp.1477-1484
[33] Hung, W.L., Yang, M.S., On Similarity Measures between intuitionistic fuzzy sets [J].International Journal of General Systems,23(3),2008, pp.364-383
[34] Vlachos, I.K., Sergiadis, G.D., Intuitionistic fuzzy information-Applications to patternrecognition [J]. Pattern Recognition Letters,28(2),2007, pp.197-206
[35] Zhang, Q.S., Jiang, S.Y., A note on information entropy measures for vague sets [J].Information Science,178(21),2008, pp.4184-4191
[36] Zhang, H.Y., Zhang, W.X., Mei, C.L., Entropy of interval-valued fuzzy sets based on distanceand its relationship with similarity measure [J]. Knowledge-Based Systems,22(6),2009,pp.449-454
[37] Hung, W.L., Yang, M.S., Fuzzy entropy on intuitionistic fuzzy sets [J]. International Journalof General Systems,21(4),2006, pp.443-451
[38] Xu, Z.S., Intuitionistic Fuzzy Aggregation Operators [J]. IEEE Transactions on FuzzySystems,15(6),2007, pp.1179–1187
[39] Xu, Z.S., Yager, R.R., Some geometric aggregation operators based on intuitionistic fuzzysets [J]. International Journal of General Systems,35,2006, pp.417-433
[40] Zhao, H., Xu, Z.S., Ni, M.F., Liu, S.S., Generalized aggregation operators for intuionisticfuzzy sets [J]. Internation Journal of Intelligent Systems,25,2010, pp.1–30
[41] Xu, Y.J., Wang, H.M., The induced generalized aggregation operators for intuitionistic fuzzysets and their application in group decision making [J]. Applied Soft Computing,12,2012,pp.1168–1179
[42] Xu, Z.S., Approaches to multiple attribute group decision making based on intuitionisticfuzzy power aggregation operators [J]. Knowledge-Based Systems,24,2011, pp.749–760
[43] Wei, G.W., Some induced geometric aggregation operators with intuitionistic fuzzyinformation and their application to group decision making [J]. Applied Soft Computing,10,2010,pp.423–431
[44] Yang, W., Chen, Z.P., The quasi-arithmetic intuitionistic fuzzy OWA operators [J].Knowledge-Based Systems,27,2012, pp.219–233
[45] Yu, D.J., Wu, Y.Y., Lu, T., Interval-valued intuitionistic fuzzy prioritized operators and theirapplication in group decision making [J]. Knowledge-Based Systems,30,2012,57-66
[46] Wei, G.W., Zhao, X.F., Some induced correlated aggregating operators with intuitionisticfuzzy information and their application to multiple attribute group decision making [J]. ExpertSystems with Applications,39,2012, pp.2026–2034
[47] Zeng, S.Z., Su, W.H., Intuitionistic fuzzy ordered weighted distance operator [J].Knowledge-Based Systems,24,2011, pp.1224-1232
[48] Tan, C.Q., Chen, X.H., Intuitionistic fuzzy Choquet integral operator for multi-criteriadecision making [J]. Expert Systems with Applications,37,2010,149-157
[49] Xu, Z.S., Xia, M.M., Induced generalized intuitionistic fuzzy operators [J]. Knowledge-BasedSystems,24,2011, pp.197–209
[50] Herrera, F., Herrera-Viedma, E., Verdegay J.L., Direct approach processes in group decisionmaking using linguistic OWA operators [J]. Fuzzy Sets and Systems,79,1996, pp.175-190
[51] Zhou, L.G., Chen, H.Y., A generalization of the power aggregation operators for linguisticenvironment and its application in group decision making [J]. Knowledge-Based Systems,26,2012, pp.216-224
[52] Xu, Y., Merigo, J.M., Wang, H.M., Linguistic power aggregation operators and theirapplication to multiple attribute group decision making [J]. Applied Mathematical Modelling,36(11),2012, pp.5427-5444
[53] Xu, Z.S., A method based on linguistic aggregation operators for group decision making withlinguistic preference relations [J]. Information Sciences,166,2004, pp.19-30
[54] Xu, Z.S., Induced uncertain linguistic OWA operators applied to group decision making [J].Information Fusion,7,2006, pp.231-238
[55] Xu, Z.S., Uncertain linguistic aggregation operators based approach to multiple attributegroup decision making under uncertain linguistic environment [J]. Information Sciences,168,2004, pp.171-184
[56] Xu, Z.S., An approach based on the uncertain LOWG and induced uncertain LOWGoperators to group decision making with uncertain multiplicative linguistic preference relations [J].Decision Support Systems,41,2006, pp.488-499
[57] Wu, J., Cao, Q.W., Zhang, J.L., An ILOWG operator based group decision making methodand its application to evaluate the supplier criteria [J]. Mathematical and Computer Modelling,54,2011, pp.19-34
[58] Herrera, F., Martínez, L., A2-tuple fuzzy linguistic representation model for computing withwords [J]. IEEE Transactions on Fuzzy Systems,8,2000, pp.746-752
[59] Wang, J.H., Hao, J.Y., A new version of2-tuple fuzzy linguistic representation model forcomputing with words [J]. IEEE Transactions on Fuzzy Systems,14,2006, pp.435-445
[60] Wang, S.Y., Applying2-tuple multigranularity linguistic variables to determine the supplyperformance in dynamic environment based on product-oriented strategy [J]. IEEE Transactionson Fuzzy Systems,16,2008, pp.29-39
[61] Wang, J.H., Hao, J.Y., An approach to aggregation of ordinal information in multi-criteriamulti-person decision making using Choquet integral of Fubini type [J]. Fuzzy Optimization andDecision Making,8,2009, pp.365-380
[62] Dong, Y.C., Xu, Y.F., Li, H.Y., Feng, B., The OWA-based consensus operator under linguisticrepresentation models using position indexes [J]. European Journal of Operational Research,203,2010, pp.455-463
[63] Wei, G.W., A method for multiple attribute group decision making based on the ET-WG andET-OWG operators with2-tuple linguistic information [J]. Expert Systems with Applications,37,2010, pp.7895-7900
[64]姜艳萍,樊治平.二元语义信息集结算子的性质分析[J].控制与决策,18(6),2003,pp.754-757
[65]张尧,樊治平.一种基于语言集结算子的语言多指标决策方法[J].系统工程,24(12),2006, pp.98-101
[66] Yang, W., Chen, Z.P., New aggregation operators based on the Choquet integral and2-tuplelinguistic information [J]. Expert Systems with Applications,39,2012, pp.2662-2668
[67] Xu, Z.S., Dependent OWA operators, Lecture Notes in Artificial Intelligence,3885,2006,pp.172-178
[68] Wei, G.W., Zhao, X.F., Some dependent aggregation operators with2-tuple linguisticinformation and their application to multiple attribute group decision making [J]. Expert Systemswith Applications,39,2012, pp.5881-5886
[69]诸克军,张新兰,肖荔瑾. Fuzzy AHP方法及应用[J].系统工程理论与实践,12,1997,pp.64-69
[70] Buckly, J.J., Feuring, T., Hayashi. Y., Fuzzy hierarchical analysis revisited [J].EuropeanJournal of Operational Research,129(l),200l, pp.48-64
[71] Csutora, R., Buekley, J.J., Fuzzy hierarchical analysis: the Lambda-Max method [J].FuzzySets and Systems，120(2),2001, pp.181-195
[72]许若宁.Fuzzy判断矩阵的一致性修正[J].数学研究与评论,23(l),2003, pp.173-176
[73]李永,胡向红,乔箭.改进的模糊层次分析法[J].西北大学学报(自然科学版),35(1),2005, pp.11-12
[74]朱建军,刘十新,王梦光.一种新的求解区间数判断矩阵权重的方法[J].系统工程理论与实践,4,2005, pp.29-34
[75]魏翠萍,张玉忠,冯向前.区间数判断矩阵的一致性检验及排序方法[J].系统工程理论与实践,10,2007, pp.132-139
[76]冯向前,魏翠萍,李宗植,胡钢.三角模糊数互反判断矩阵的一致性及排序研究[J].统计与决策,4,2007, pp.27-28
[77] Xu, Z.S., Chen, J., Some models for deriving the priority weights from interval fuzzypreference relations [J]. European Journal of Operational Research,184(1),2008, pp.266-280
[78] Wang, T.C., Chen, Y.H., Applying fuzzy linguistic preference relations to the improvement ofconsistency of fuzzy AHP [J]. Information Sciences,178,2008, pp.3755-3765
[79]钱钢,冯向前,徐泽水.区间数互补判断矩阵的一致性[J].控制与决策,24(5),2009,pp.726-728
[80]江文奇.一种判断矩阵的不一致性调整方法[J].系统工程与电子技术,31(9),2009,pp.2129-2132
[81]徐华,邱彤,赵劲松.模糊判断矩阵构造和矩阵一致性检验的同步方法[J].清华大学学报(自然科学版),50(6),2010, pp.913-916
[82] Sun, C.C., A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSISmethods [J]. Expert Systems with Applications,37,2010, pp.7745-7754
[83] Chen, V.Y.C., Lien, H.P., Liu, C.H., Liou, J.J.H., Tzeng, G.H., Yang, L.S., Fuzzy MCDMapproach for selecting the best environment-watershed plan [J]. Applied Soft Computing,11,2011,pp.265-275
[84]尤天慧,樊治平.不确定性多属性决策中确定熵权的一种误差分析方法[J].系统工程,21(l),2003, pp.101-104
[85]尤天慧,樊治平,俞竹超.不确定性多属性决策中确定属性熵权的一种方法[J].东北大学学报(白然科学版),25(6),2004, pp.598-601
[86]朱方霞,陈华友.确定区间数决策矩阵属性权重的方法-熵值法[J].安徽大学学报(白然科版),30(5),2005, pp.4-6
[87]王美,张凤鸣,刘智.模糊信息的熵权多属性决策方案评估方法[J].系统工程与电子技术,28(10),2006, pp.1523-1525
[88] Chen, T.Y., Li, C.H., Determining objective weights with intuitionistic fuzzy entropymeasures: A comparative analysis [J]. Information Sciences,180(21),2010, pp.4207-4222
[89] Ye, J., Multicriteria fuzzy decision-making method using entropy weights-based correlationcoefficients of interval-valued intuitionistic fuzzy sets [J]. Applied Mathematical Modelling,34,2010, pp.3864-3870
[90]覃林,沈作奎.运用离差最大化方法计算灰色关联系数的权重[J].湖北民族学院学报(白然科学版),17(4),1999, pp.11-14
[91]周宏安,刘二阳.基于离差最大化模型的模糊多属性决策投影法[J].系统工程与电子技术,29(5),2007, pp.741-744
[92] Wu, Z.B., Chen, Y.H., The maximizing deviation method for group multiple attribute decisionmaking under linguistic environment[J].Fuzzy Sets and Systems,158(14),2007, pp.1608-1617
[93] Wei, G.W., Maximizing deviation method for multiple attribute decision making inintuitionistic fuzzy setting [J]. Knowledge-Based Systems,21,2008, pp.833-836
[94] Wang, Y.M., Luo, Y., Integration of correlations with standard deviations for determiningattribute weights in multiple attribute decision making [J]. Mathematical and Computer Modelling,51,2010, pp.1-12
[95] Li, D.F., Multiattribute decision making models and methods using intuitionistic fuzzy sets[J]. Journal of Computer and System Sciences,70,2005, pp.73-85
[96] Xu, Z.S., Multiple-Attribute Group Decision Making With Different Formats of PreferenceInformation on Attributes [J]. IEEE Transactions on Systems, Man and Cybernetics,37(6),2007,pp.1500-1511
[97] Li, D.F., Fuzzy multiattribute decision-making models and methods with incompletepreference information [J]. Fuzzy Sets and Systems,106,1999, pp.113-119
[98] Wang, Y.M., On fuzzy multiattribute decision-making models and methods with incompletepreference information [J]. Fuzzy Sets and Systems,151,2005, pp.285–301
[99]徐泽水.直觉模糊偏好信息下的多属性决策途径[J].系统工程理论与实践,11,2007,pp.62-71
[100]龚艳冰,梁雪春.基于组合模型的直觉模糊集多属性决策方法[J].控制与决策,25(3),2010, pp.469-472
[101] Sugeno, M. Theory of fuzzy integral and its applications [D]. Tokyo: Department of CompIntell&Syst Sci, Tokyo Institute of Technology,1974
[102]武建章,张强.基于2-可加模糊测度的多准则决策方法[J].系统工程理论与实践,30(7),2010, pp.1229-1237
[103]章玲,周德群.基于Choquet积分的层次多属性决策方法研究[J].南京航空航天大学学报,39(6),2007, pp.824-828
[104]高岩,周德群,刘晨琛.一种基于Choquet积分的多属性直觉模糊决策方法[J].数学的实践与认识,39(17),2009, pp.72-77
[105] Shieh, J.I., Wu, H.H., Liu, H.C., Applying a complexity-based Choquet integral to evaluatestudents’ performance [J]. Expert Systems with Applications,36,2009, pp.5100-5106
[106] Kojadinovic, I., Estimation of the weights of interacting criteria from the set of profiles bymeans of information-theoretic functionals [J]. European Journal of Operational Research,155,2004, pp.741-751
[107]徐泽水,达庆利.多属性决策的组合赋权方法研究[J].中国管理科学,10(2),2002,pp.84-87
[108]陈华友.多属性决策中基于离差最大化的组合赋权方法[J].系统工程与电子技术,262,2004, pp.194-197
[109]周宇峰,魏法杰.基于相对熵的多属性决策组合赋权方法[J].运筹与管理,2006,15(5),pp.48-53
[110]陈伟,夏建华.综合主、客观权重信息的最优组合赋权方法[J].数学的实践与认识,37(l),2007, pp.17-22
[111]梁彦刚,唐国金,闫野.投影寻踪模型在多属性决策中的应用[J].运筹与管理,17(6),2008, pp.93-97
[112] Wang, T.C., Lee, H.D., Developing a fuzzy TOPSIS approach based on subjective weightsand objective weights [J]. Expert Systems with Applications,36,2009, pp.8980-8985
[113] Wang, J.R., Fan, K., Wang, W.S., Integration of fuzzy AHP and FPP with TOPSISmethodology for aeroengine health assessment [J]. Expert Systems with Applications,37,2010,pp.8516-8526
[114] Xia, M.M., Xu, Z.S., Entropy/cross entropy-based group decision making underintuitionistic fuzzy environment [J]. Information Fusion,13(1),2012, pp.31-47
[115] Atanassov, K.T., Gargov, G., Interval-valued intuitionistic fuzzy sets [J]. Fuzzy Sets andSystems,31,1989, pp.343-349
[116] Szmidt, E., Kacprzyk, J., Some problems with entropy measures for the Atanassovintuitionistic fuzzy sets, Lecture Notes in Computer Science,4578,2007, pp.291-297
[117] Zadeh, L.A., Fuzzy sets [J]. Information and Control,8,1965, pp.338-353
[118] Atanassov, K., Intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems,20,1986, pp.87-96
[119] Zadeh, L.A., The concept of a linguistic variable and its application to approximatereasoning-I [J]. Information Sciences,8,1975, pp.199-249
[120] Gau, W., Buehrer, D., Vague sets [J]. IEEE Transactions on Systems, Man and Cybernetics,23(2),1993, pp.610-614
[121] Bustince, H., Burillo, P., Vague sets are intuitionistic fuzzy sets [J]. Fuzzy Sets and Systems,79(3),1996, pp.403-405
[122] Atnaassov, K.T., New operations defined over the intuitionistic fuzzy sets [J]. Fuzzy Setsand Systems,61,1994, pp.137-142
[123] Sambuc, R., Functions Ф-Flous Application a l’aide au Diagnostic en PathologieThyroidienne, These de Doctorat en Merseille,1975
[124]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[J].控制与决策,22(2),2007, pp.215-219
[125] Xu, Z.S., Some similarity measures of intuitionistic fuzzy sets and their applications tomultiple attribute decision making [J]. Fuzzy Optimization and Decision Making,6,2007,pp.109-121
[126] Chen, S.M., Hsiao, W.H., Jong, W.T., Bidirectional approximate reasoning based oninterval-valued fuzzy sets [J]. Fuzzy Sets and Systems,91,1997, pp.339-353
[127] Zadeh, L.A., Fuzzy sets and systems. In： Proc Symp on Systems Theory, PolytechnicInstitute of Brooklyn, New York,1965, pp.29-37
[128] Kaufmann, A., Introduction to the Theory of Fuzzy Subsets [M.] Academic Press, New York,1975
[129] Yager, R.R., On measure of fuzziness and fuzzy complements [J]. International Journal ofGeneral Systems,8,1982, pp.169-180
[130]Ye, J., Two effective measures of intuitionistic fuzzy entropy [J]. Computing,87(1-2),2010,pp.55-62
[131] De, S.K., Biswas, R., Roy, A.R., Some operations on intuitionistic fuzzy sets [J]. Fuzzy Setsand Systems,114,2000, pp.477-484
[132] Wei, G.W., Wang, X.R., Some geometric aggregation operators on interval-valuedintuitionistic fuzzy sets and their application to group decision making, In Proceedings of ICCIS2007
[133]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[J].控制与决策,22(2),2007, pp.215-219
[134]徐泽水,陈剑.一种基于区间直觉判断矩阵的群决策方法[J].系统工程理论与实践,27,2007, pp.126-133
[135] Xu, Z.S., Chen, J., On geometric aggregation over interval-valued intuitionistic fuzzyinformation. In Proceedings of Fourth International Conference on Fuzzy Systems and KnowledgeDiscovery,2007
[136] Ye, J., Multicriteria fuzzy decision-making method based on a novel accuracy fuction underinterval-valued intuitionistic fuzzy environment [J]. Expert Systems with Applications,36,2009,pp.6899-6902
[137] Wang, Z.J., Li, K.W., Wang, W.Z., An approach to multiattribute decision making withinterval-valued intuitionistic fuzzy assessments and incomplete weights [J]. Information Sciences,179,2009, pp.3026-3040
[138] Gomathi Nayagam, V.L., Muralikrishnan, S., Sivaraman, G., Multi-criteria decision-makingmethod based on interval-valued intuitionistic fuzzy sets [J]. Expert Systems with Applications,38(3),2011, pp.1464-1467
[139] Park, D.G., Kwun, Y.C., Park, J.H., Park, Y., Correlation coefficient of interval-valuedintuitionistic fuzzy sets and its application to multiple attribute group decision making problems[J]. Mathematical and Computer Modelling,50,2009, pp.1279-1293
[140] Wei, G.W., Wang, H.J., Lin, R., Application of correlation coefficient to interval-valuedintuitionistic fuzzy multiple attribute decision-making with incomplete weight information [J].Knowledge and Information Systems,26(2),2011, pp.337-349
[141] Ye, F., An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers forvirtual enterprise partner selection [J]. Expert Systems with Applications,37,2010, pp.7050-7055
[142] Park, J.H., Park, I.Y., Kwun, Y.C., Tan, X.G., Extension of the TOPSIS method for decisionmaking problems under interval-valued intuitionistic fuzzy environment [J]. AppliedMathematical Modelling,35,2011, pp.2544-2556.
[143] Li, D.F., TOPSIS-based nonlinear-programming methodology for multiattribute decisionmaking with interval-valued intuitionistic fuzzy sets [J]. IEEE Transaction on Fuzzy Systems,18(2),2010, pp.299-311
[144] Li, D.F., Linear programming method for MADM with interval-valued intuitionistic fuzzysets [J]. Expert Systems with Applications,37,2010, pp.5939-5945
[145] Wang, W., Wang, Z., An approach to multi-attribute interval-valued intuitionistic fuzzydecision making with incomplete weight information, In Proceedings of Fifth InternationalConference on Fuzzy Systems and Knowledge Discovery,2008
[146] Wang, Z., Wang, W., Li, K.W., Multi-attribute decision making models and methods underinterval-valued intuitionistic fuzzy environment, In Proceedings of the2008Chinese Control andDecision Conference,2008
[147] Bustince, H., Burillo, P., Correlation of interval-valued intuitionistic fuzzy sets [J]. FuzzySets and Systems,74,1995, pp.237-244
[148]徐泽水,达庆利.一种基于可能度的区间判断矩阵排序法[J].中国管理科学,11(1),2003, pp.63-65
[149] Xu, R.N., Zhai, X.Y., Extensions of the analytic hierarchy process in fuzzy environment [J].Fuzzy Sets and Systems,52,1992, pp.251-257
[150] Park, K.S., Kim, S.H., Tools for interactive multi-attribute decision making withincompletely identified information [J]. European Journal of Operational Research,98,1997,pp.111-123
[151] Kim, S.H., Ahn, B.S., Interactive group decision making procedure under incompleteinformation [J]. Europe Journal of Operation Research,116,1999, pp.498-507
[152]谢季坚,刘承平.模糊数学方法及其应用[M].武汉：华中科技大学出版社,2006
[153] Chen, C.T., Extensions of the TOPSIS for group decision-making under fuzzy environment[J]. Fuzzy Sets and Systems,114,2000, pp.1-9
[154] Li, D.F., Yang, J.B., Fuzzy linear programming technique for multiattribute group decisionmaking in fuzzy environments [J]. Information Science,158,2004, pp.263-275
[155] Xu, Z.S., Chen, J., An interactive method for fuzzy multiple attribute group decision making[J]. Information Science,177,2007, pp.248-263
[156] Luo, Z.M., Zhou, J.Z., Zheng, L.P., Mo, L., He, Y.Y., A TFN-ANP based approach toevaluate Virtual Research Center comprehensive performance [J]. Expert Systems withApplications,37,2010, pp.8379-8386
[157] Yu, V.F., Hu, K.J., An integrated fuzzy multi-criteria approach for the performanceevaluation of multiple manufacturing plants [J]. Computers&Industrial Engineering,58,2010,pp.269-277.
[158] Bordogna, G., Fedrizzi, M., Pasi, G., A linguistic modeling of consensus in group decisionmaking based on OWA operators [J]. IEEE Transactions on Systems, Man and Cybernetics,27,1997, pp.126-133
[159] Hung, K.C., Julian, P., Chien, T., Jin, W.T., A decision support system for engineering designbased on an enhanced fuzzy MCDM approach [J]. Expert Systems with Applications,37,2010,pp.202-213
[160] Chou, C.C., Kuo, F.T., Gou, R.H., Tsai, C.L., Wong, C.P., Tsou, M.C., Application of acombined fuzzy multiple criteria decision making and optimization programming model to thecontainer transportation demand split [J]. Applied Soft Computing,10,2010, pp.1080-1086
[161] Herrera, F., Alonso, S., Chiclana, F., Herrera-Viedma, E., Computing with words indecision making：foundations, trends and prospects [J]. Fuzzy Optimization and Decision Making,8,2009, pp.337-364
[162] Martínez, L., Ruan, D., Herrera, F.,Computing with words in decision support systems: anoverview on models and applications [J]. International Journal of Computational IntelligenceSystems,3,2010, pp.382-395
[163] Herrera, F., Martínez, L., A model based on linguistic2-tuple for dealing with multi-granularhierarchical linguistic contexts in multi-expert decision-making [J]. IEEE Transactions on Systems,Man and Cybernetics,31,2001, pp.227-234
[164] Herrera, F., Martínez, L., Sanchez, P.J., Managing non-homogeneous information in groupdecision-making [J]. European Journal of Operational Research,166,2005, pp.115-132
[165] Martínez, L., Liu, J., Ruan, D., Yang, J.B., Dealing with heterogeneous information inengineering evaluation processes [J]. Information Sciences,177,2007, pp.1533-1542
[166] Wang, W.P., Toward developing agility evaluation of mass customization systems using2-tuple linguistic computing [J]. Expert Systems with Applications,36,2009, pp.3439-3447
[167] Andrés, R., García-Lapresta, J.L., Martínez, L., A multi-granular linguistic model formanagement decision-making in performance appraisal [J]. Soft Computing,142010, pp.21-34
[168] Wang, W.P., A fuzzy linguistic computing approach to supplier evaluation [J]. AppliedMathematical Modelling,34,2010, pp.3130-3141
[169] Chang, K.H., Wen, T.C., A novel efficient approach for DFMEA combining2-tuple and theOWA operator [J]. Expert Systems with Applications,37,2010, pp.2362-2370
[170]林健,兰继斌,林耀海.基于区间二元语义集结算子的多属性群决策方法[J].吉林师范大学学报,1,2009, pp.5-9
[171] Chen, C.T., Tai, W.S., Measuring the intellectual capital performance based on2-tuple fuzzylinguistic information, in： Proceedings of the10th annual meeting of Asia pacific region ofdecision sciences institute, Taiwan,2005, pp.20
[172] Herrera, F., Herrera-Viedma, E., Martínez, L., A fusion approach for managingmulti-granularity linguistic terms sets in decision making [J]. Fuzzy Sets and Systems,114,2000,pp.43-58
[173] Chen, S.M., Tan, J.M., Handling multicriteria fuzzy decision-making problems based onvague set theory [J]. Fuzzy Sets and Systems,67,1994, pp.163-172
[174] Hong, D.H., Choi, C.H., Multicriteria fuzzy decision-making problems based on vague settheory [J]. Fuzzy Sets and Systems,114,2000, pp.103-113
[175] Yager, R.R., Generalized OWA aggregation operators [J]. Fuzzy Optimization and DecisionMaking,3,2004, pp.93-107
[176] Herrera, F., Herrera-Viedma, E., Linguistic decision analysis: Steps for solving decisionproblems under linguistic information [J]. Fuzzy Sets and Systems,115,2000, pp.67-82
[177]柳卸林.对服务创新研究的一些评论[J].科学学研究,23(6),2005, pp.856-860
[178] Kotler P. Marketing management [M]. NJ, Upper Saddle River, Pearson Education,2003
[179] Menor, L.J., Roth, A.V., New service development competence and performance: anempirical investigation in retail banking [J]. Production&Operations Management,17(3),2008,pp.267-284
[180] Paton R.A., Mclaughlin, S., The services science and innovation series [J]. EuropeanManagement Journal,26(2),2008, pp.75-76
[181] Sundbo, J., Customer-based innovation of knowledge e-services: the importance ofafter-innovation [J]. International Journal of Services Technology&Management,2008,9(3),pp.218-233
[182]Thorsell, J., Innovation in learning: how the danish leadership institute developed2200managers from fujitsu services from13different countries [J]. Management Decision,45(10),2007, pp.1667-1676
[183] Drejer, I., Identifying innovation in surveys of services: a Schumpeterian perspective [J].Research Policy,33(3),2004, pp.551-562
[184]蔺雷,吴贵生.服务创新研究现状、概念界定及特征描述[J].科研管理,26(2),2005,pp.1-6
[185] Blazvic, V., Lievens, A., Managing innovation through customer coproduced knowledge inelectronic services： An exploratory study [J]. Journal of the Academy of Marketing Science,36(1),2008, pp.138-151
[186] Barras, R., Towards a theory of innovation in services [J]. Research Policy,15,1986,pp.161-173
[187] Bilderbeek, R., Hertog, P., Marklund, G., and Miles, D., Service Innovation: KnowledgeIntensive Business Service As Co-producers of Innovation[R]. SI4S Project synthesis, WorkPackage5/6,1998,8
[188]原毅军,刘浩.服务创新衡量研究综述[J].科技进步与对策,27(3),2010, pp.153-156
[189] Gallouj, F., Weinstein, O., Innovation in services [J]. Research Policy,26(4,5),1997,pp.537-556
[190] Coombs, R., Miles, I., Innovation, measurement and services: The new problematic. In:Metcalfe, J.S., Miles, I.(Eds.), Innovation Systems in the Service Economy. Measurement andCase Study Analysis[M]. Boston, Kluwer Academic Publishers,2000, pp.85-103
[191] Djellal, F., Gallouj, F., Patterns of innovation organization in service firms: Portal surveyresults and theoretical models. Science and Public Policy,28(1),2001, pp.57-67
[192]汪涛,蔺雷.服务创新研究:二十年回顾与展望[J].软科学,24(5),2010, pp.17-20
[193] Gallouj, F., Economics of Innovation in Service [M]. Paris: Loqiques economiques,1994
[194] Cooper, R.G., Easingwood, C.J., Edgett, S., Kleinschmidt, E.J., Storey, C., Whatdistinguishes the top performing new products in financial services [J]. Journal of ProductInnovation Management,11(4),1994, pp.281-299
[195] Gainelli, G., Evangelista, R., Savona, M., Innovation and economic performance in services:a firm-evel analysis [J]. Cambridge Journal of Economics,30(3),2006, pp.435-458
[196] Minna, K., Hugo, H., Anthony, A., Can we measure and compare innovation in services?
［R］.2006Trend Chart Report,2006
[197]舒伯阳.基于BSC的服务创新成长绩效评估[J].中南财经政法大学学报,6,2005,pp.45-49
[198]鲁琨,高强.创新、服务质量与绩效: B2C电子商务业实证研究[J].科学学研究,27(7),2007, pp.1110-1120
[199]张德海，刘德文.联盟式物流服务创新的绩效评价指标体系构建[J].统计与决策,12,2010, pp.37-38
[200]苏敬勤,张竟浩,崔淼.企业家导向、组织能力对服务创新绩效的影响研究—基于我国东北地区大中型制造业企业的实证分析[J].技术经济,28(11),2009, pp.1-6
[201] Cardozo, R.N., An experimental study of customer, effort, expectation and satisfaction [J].Journal of Marketing Research,2,1965, pp.244-249
[202] Howard, J.A., Jagdish, N.S., The Theory of Buyer Behavior [M]. New York Wi1ey,1969,pp.27-28
[203]01iver, R.L., Measurement and Evaluation of Satisfaction Processes in Retailing Setting [J].Journal of Retailing,57(3),1981, pp.25-48
[204]菲利普·科特勒著,梅汝,梅清豪，周安柱译.营销管理[M].北京：中国人民大学出版社,2001
[205] Reicheld, F.F., Sasser W.E., Jr., Zero defections: quality comes to services [J]. HarvardBusiness Review,65(8),1990, pp.105-111
[206] Aderson, E.W., Sullivan, M.W., The Antecedents and Consequences of CustomerSatisfaction for Firms [J]. Marketing Science,12(2),1993, pp.125-143
[207] Dbholkar, P.A., Thorpe, D.I., Does customer satisfaction predict shopper intentions?[J].Journal of Consumer Satisfaction,7,1994, pp.161-171
[208] Gomez, M.I., McLaughlin, E.W., Wittink, D.R., Customer satisfaction and retail salesperformance: an empirical investigation [J]. Journal of Retailing,80,2004, pp.265-278
[209] Chevalier, J.A., Mayzlin, D., The Effect of Word of Mouth on Sales: Online Book Reviews[J]. Journal of Marketing Research,43(3),2006, pp.345-354
[210] Matzler, K., Hinterhuber, H., Daxer, C., Huber, M., The relationship between customersatisfaction and shareholder value [J]. Total Quality Management&Business Excellence,16(5),2005, pp.671-680
[211] Gruca, T.S., Rego, L.L., Customer satisfaction, cash flow, and shareholder value [J]. Journalof Marketing,69,2005, pp.115-130
[212] Mittal, V., Anderson, E.W., Sayrak, A., Tadikamalla, P., Dual emphasis and the longtermfinancial impact of customer satisfaction [J]. Marketing Science,24(4),2005, pp.544-555
[213] Fornell, C., Mithas, S., Morgeson, F., Krishnan, M.S., Customer satisfaction and stockprices: High returns, low risk [J]. Journal of Marketing,70(1),2006, pp.3-14
[214]黄劲松,赵平,王高等.基于顾客角度的市场占有率研究[J].中国管理科学,12(2),2004, pp.95-100
[215]王毅,赵平.顾客满意度与企业股东价值关系研究[J].管理科学学报,13(6),2010,pp.54-63
[216] Oliver, R.L., A Cognitive Model of the Antecedents and Consequence of SatisfactionDecisions [J]. Journal ofMarketing Research,17,1980, pp.460-469
[217] Kano, N., Seraku, F., Takahashi, F., Tsuji, S., Attractive quality and must-be quality [J]. TheJournal of the Japanese Society for Quality Control,14(2),1984, pp.39-48
[218] Fornell, C., A National Customer Satisfaction Barometer: the Swedish Experience [J].Journal of Marketing,56(1),1992, pp.6-21
[219] Anderson E.W., Fornell C., Foundations of the American Customer Satisfaction Index [J].Total Quality Management, l1(9),2000, pp.869-82
[220]吴冠之,张艳妍. B2C环境下感知服务质量与顾客满意度的关系研究[J].北京邮电大学学报(社会科学版),10(15),2008, pp.1-5
[221]陈湘青.一种新顾客满意度指数测评模型的实证研究[J].消费经济,23(5),2007,pp.69-73
[222]禹银艳,杨姗媛. B2C电子商务顾客满意度测评研究[J].统计与决策,20,2009,pp.187-188
[223]聂风华,魏强.基于二维顾客满意度模型的学生公寓管理评价[J].清华大学学报(自科学版),50(6),2010, pp.952-956
[224]马万里,孙秀娟.零售业顾客满意度测评研究[J].商业研究,12,2006, pp.4-6
[225]王高，李飞，陆奇斌.中国大型连锁综合超市顾客满意度实证研究-基于20家大型连锁综合超市的全国调查数据[J].管理世界,6,2006, pp.101-110
[226] Lewis, R.C., Booms, B.H., The marketing aspects of service quality in emergingperspectives on services marketing. In: Berry, L., Shostack, G,, Upah, G., ed. Chicago: AmericanMarketing,1983, pp.99-107
[227] Gronroos, C., A service quality model and its marketing implications [J]. European Journalof Marketing,18(4),1984, pp.36-44
[228] Garvin, D.A., What Does “Produce Quality” Really Mean [J]. Sloan Management Review，3,1984, pp.25-43
[229] Rust, R., Oliver, R., Service quality: New direction in theory and practice [M]. ThousandOaks, CA: Sage,1994
[230] Lehtinen, U., Lehtinen, J., Service quality: a study of quality dimensions. Working Paper,University of Tampere, Finland,1983
[231] Parasuraman, A., Zeithaml, V.A., Berry, L.L., SERVQUAL: A multiple-item scale formeasuring consumer perceptions of service quality [J]. Journal of Retailing,64(1),1988, pp.12-41
[232] Carman, J.M., Consumer perceptions of service quality: an assessment of the SERVQUALdimensions [J]. Journal of Retailing,66(1),1990, pp.33-55
[233] Chiu, H.C., A study on the cognitive and affective components of service quality [J]. Totalquality management,13(2),2002, pp.265-274
[234] Edvardsson, B., Service quality: beyond cognitive assessment [J]. Managing Service Quality,15(2),2005, pp.127-131
[235]柴盈,韦福祥.服务质量内涵的综述与思考[J].科技与管理,3,2004, pp.36-38
[236] Sasser, W. E., Olsen, R.P., Wyckoff, D.D., Management of service operation: Text, cases,and readings [M]. Boston, MA: Allyn and Bacon,1978
[237] Gummesson, E., Service Quality and Product Quality Combined, Review of Business, St.John’s University, Winter,1988
[238] Edvardsson, B., Management consulting: towards a successful relationshio [J]. Internationaljournal of service industry management,1(3),1989, pp4-19
[239] Parasuraman, A., Zeithaml, V.A., Berry, L.L., A Conceptual Model of Service Quality andIts Implications for Future Research [J]. Journal of Marketing,49(4),1985, pp.41-50
[240] Cronin, J.J., Taylor, S.A., Measuring Service Quality: Are Examination and Extension [J].Journal of Marketing,56(3),1992, pp.55-68
[241]汪纯孝,岑成德,朱伉等.服务性企业整体质量管理[M].广州:中山大学出版社,1999
[242]宋彦军. TOM/ISO9000与服务质量管理［M］.北京：机械工业出版社，2004
[243]叶万春,王红.服务质量［M］.北京：高等教育出版社,2010
[244] Wilkins, H., Merrilees, B., Herington, C., Towards an understanding of total service qualityin hotels [J]. Hospitality Management,26,2007, pp.840-853
[245] Zeithaml,V.A., Parasuraman,A., Malhotra, A., A conceptual framework for understandinge-service quality: implications for future research and managerial practice. Marketing ScienceInstitute Working Paper, Report,2000
[246] Yang, Z., Peterson, R.T., Huang, L., Taking the Pulse of Internet Pharmacies［J］. MarketingHealth Services,21(2),2001, pp.5-10
[247] Kaynama, S.A., Black, C.I., A proposal to assess the service quality of onlinetravel agencies:an exploratory study [J]. Journal of Professional Services Marketing,21(1),2000, pp.63-88
[248] Wolfinbarger, M., Gilly, M.C., comQ: Dimensionalizing, Measuring, and Predicting Qualityof the E-tail Experience. Marketing Science Institute Working Paper, Report,2002
[249] Oliver, R.L.,“Conceptualization and Measurement of Disconfirmation Perceptions in thePrediction of Consurmer Satisfaction” in Hunt, K., Day, R.L., Refining Concepts and Measures ofConsumer Satisfaction and Complaining Behavior [C]. Bloomington: Indiana University,1980,pp.2-6
[250] Bolton, R.N., Drew, J.H., A Multistage Model of Customers’ Assessments of ServiceQuality and Value [J]. Journal of Consumer Research,17,1991, pp.375-384
[251] Zeithaml, A., Berry, L.L., Parasuraman, A., Communication and control process in thedelivery of service quality [J]. Journal of Marketing,52(2),1988, pp.35-48
[252] Woodside, A.G., Frey, L.L., Daly, R.T., Linking service quality, customer satisfaction, andbehavioral intention [J]. Journal of Health Care Marketing,9(4),1989, pp.5-17
[253] Brady, M.K., Cronin, J.J., Some new thoughts on conceptualizing perceived service quality:a hierarchical approach [J]. Journal of Marketing,65(7),2001, pp.34-49
[254]韦福样.顾客感知服务质量与顾客满意相关关系实证研究[J].天津商学院学报,23(1),2003, pp.21-25
[255] Collier, J.E., Bienstock, C.C., Measuring service quality in e-retailing [J]. Journal of ServiceResearch,8(3),2006, pp.260-275
[256] Park, C.H., Kim, Y.G., The effect of information satisfaction and relational benefit ofconsumers’ online shopping site commitments [J]. Journal of Electronic Commerce inOrganizations,4(1),2006, pp.70-90
[257]吴冠之,张艳妍. B2C环境下感知服务质量与顾客满意度的关系研究[J].北京邮电大学学报(社会科学版),10(15),2008, pp.1-5
[258] Kuo, Y.F., Wu, C.M., Deng, W.J., The relationships among service quality, perceived value,customer satisfaction,and post-purchase intention in mobile value-added services [J]. Computersin Human Behavior,25,2009, pp.887-896
[259] Heesup, H., Wansoo, K., Sunghyup, S.H., Switching intention model development: Role ofservice performances, customer satisfaction, and switching barriers in the hotel industry [J].International Journal of Hospitality Management,30,2011, pp.619-629
[260]王永贵.服务质量、顾客满意与顾客价值的关系剖析-基于电信产业的整合框架[J].武汉理工大学学报(社会科学版),1(6),2002, pp.579-587
[261]张雪兰.服务质量与顾客满意:基于银行业的实证研究[J].统计与决策,10,2005,pp.109-112
[262]陆娟,芦艳,娄迎春.服务忠诚及其驱动因素:基于银行业的实证研究[J].管理世界,8,2006, pp.94-103
[263]王海忠,于春玲,赵平.银行服务质量与顾客满意度的研究[J].中山大学学报(社会科学版),6,2006, pp.107-125
[264]刘宏伟,齐二石.基于AHP-FCE法的管理咨询企业顾客满意度研究[J].科技进步与对策,27(12),2010, pp.116-119
[265]李峰平,周余庆,李沛,何涛.顾客满意度的双维层次灰色评价方法[J].统计与决策,17,2009, pp.178-179
[266]李玉惠,段万春,徐晓军.基于灰色理论的企业顾客满意度测评分析[J].商业研究,24,2006, pp.14-17
[267]戴卓,代红梅.基于因子和聚类分析的个人网上银行顾客满意度研究[J].生产力研究,2,2010,pp.88-89
[268]孙华丽,谢剑英,薛耀锋.基于支持向量机的物流服务顾客满意度评价模型[J].上海交通大学学报,40(4),2006, pp.684-688
[269] Hu, Y.C., Liao, P.C., Finding critical criteria of evaluating electronic service quality ofInternet banking using fuzzy multiple-criteria decision making [J]. Applied Soft Computing,11,2011, pp.3764-3770
[270]宗鹏,曾凤章.顾客满意度的TOPSIS算法研究[J].商业研究,19,2006, pp.49-51
[271]林盛.基于PLS结构方程模型的服务行业顾客满意度测评方法及应用研究[D].天津大学博士学位论文.2002
[272]黄燕玲,黄震方,袁林旺.基于SEM的饭店顾客满意度测评模型研究[J].旅游学刊,21(11), pp.54-60
[273]刘燕,陈英武.电子政务顾客满意度指数模型实证研究[J].系统工程,24(5),2006,pp.50-56
[274]赵耀华,韩之俊.基于结构方程的高校顾客满意度模型[J].系统工程,25(11),2007,pp.85-90
[275] Hauser, J.R., Clausing, D., The House of Quality [J]. Harvard Business Review,66(3),1988,pp.63-73
[276] Chin, K.S., Pun, K.F., Leung, W.M., Lau, H., A quality function deployment approach forimproving technical library and information services: A case study [J]. Library Management,22(4,5),2001, pp.195-204
[277] Nibbelke, R., Ferro, D., Hoogeboom, P., Design and evaluation with the human in mind [J].AIR and Space Europe,3(3-4),2001, pp.218-220
[278] Dijkstra, L., Bij, H.V.D., Quality function deployment in health care: Methods for meetingcustomer requirements in redesign and renewal [J]. International Journal of Quality and ReliabilityManagement,19(1),2002, pp.67-89
[279] Duffuaa, S.O., Al-Turki, U.M., Hawsawi, F.M., Quality and reliability corner qualityfunction deployment for designing a basic statistics course [J]. InternationalJournal of Quality andReliability Management,20(6),2003, pp.740-750
[280] Chou, S.M., Evaluating the service quality of undergraduate nursing education inTaiwan-Using quality function deployment [J]. Nurse Education Today,24(4),2004, pp.310-318
[281]Gerst, R.M., QFD in large-scale social system redesign [J]. International Journal of Qualityand Reliability Management,21(9),2004, pp.959-972
[282] Leprevost, J., Mazur, G., Quality infrastructure improvement: Using QFD to manage projectpriorities and project management resources [J]. International Journal of Quality and ReliabilityManagement,22(1),2005, pp.10-16
[283] Lin, W.T., Hung, Y.H., Huang, C.T., Wu, C.C., A performance evaluation of the after-salesservice information systems provided by Taiwanese machine tool industry [J]. InternationalJournal of Management,22(1),2005, pp.112-126
[284] Omachonu, V., Barach, P., QFD in a managed care organization [J]. Quality Progress,38(11),2005, pp.36-41
[285] Moores, B.M., Radiation safety management in health care-The application of QualityFunction Deployment [J]. Radiography,12(4),2006, pp.291-304
[286] Pramod, V.R., et al., Methodology and theory integrating TPM and QFD for improvingquality in maintenance engineering [J]. Journal of Quality in Maintenance Engineering,12(2),2006, pp.150-171
[287] Miyoung, J., Haemoon, O., Quality function deployment: An extended framework forservice quality and customer satisfaction in the hospitality industry [J]. Hospitality Management,17,1998, pp.375-390
[288]刘玉敏,张晓丽,徐济超.顾客满意度测评的质量功能展开方法[J].系统工程理论与实践,9,2004, pp.20-27
[289]付利华,戴更新,王炬香.基于QFD的企业物流服务质量改进[J].青岛大学学报(自然科学版),19(4),2006, pp.56-60
[290]吴隽,王兰义,李一军.基于模糊质量功能展开的物流服务供应商选择研究[J].中国软科学,3,2010, pp.145-151
[291]孙洪.基于质量功能展开的顾客满意度研究[J].价值工程,1,2009, pp.95-98
[292]邱燕,何斌,李泽莹.基于质量功能展开的顾客满意研究[J].价值工程,11,2006,pp.67-70
[293]李剑青.制造企业技术服务的顾客满意度测评及应用研究[J].机械设计与研究,23(3),2007, pp.109-112
[294] Bhattacharya, A., Geraghty, J., Young, P., Supplier selection paradigm: An integratedhierarchical QFD methodology under multiple-criteria environment [J]. Applied Soft Computing,10,2010, pp.1013-1027
[295] Garibay, C., Gutiérrez, H., Figueroa, A., Evaluation of a Digital Library by Means ofQuality Function Deployment (QFD) and the Kano Model [J]. The Journal of AcademicLibrarianship,36(2),2010, pp.125-132
[296] Chen, Y.T., Chou, T.Y., Applying GRA and QFD to Improve Library Service Quality [J].The Journal of Academic Librarianship,37(3),2011, pp.237-245
[297] Khoo, L.P., Ho, N.C., Framework of a fuzzy quality function deployment system [J].International Journal of Production Research,34(2),1996, pp.299-311
[298] Chen, Y., Fung, R.Y.K., Tang, J., Fuzzy expected value modelling approach for determiningtarget values of engineering characteristics in QFD [J]. International Journal of ProductionResearch,43(17),2005, pp.3583-3604
[299] Chen, Y.Z., Ngai, E.W.T., A fuzzy QFD program modelling approach using the method ofimprecision [J]. International Journal of Production Research,46(24),2007, pp.1-18
[300] Bilderbeek, R., Hertog, P.D., Marklund, G., Miles, I., Service in innovation: KnowledgeIntensive Business Services (KIBS) as co-producers of innovation, the result of SI4S,1998,11
[301]蔺雷，吴贵生.服务创新的四维度模型[J].数量经济技术经济研究,3,2004, pp.32-37
[302]翟运开,倪燕翎,杜娟.物流服务创新模式：“四棱锥”模型研究[J].统计与决策,11,2006, pp.17-19
[303]葛垚,朱庆生.基于NET的网上银行服务系统的设计与开发[J].计算机工程,29(11),2003, pp.149-151
[304]中投顾问.2011-2015年中国网上银行市场投资分析及前景预测报告
[305]中国金融认证中心《2010中国电子银行调查报告》
[306] Davis, F.D., A technology acceptance model for empirically testing new end-userinformation system: theory and results[R]. Sloan School of management, Massachusetts Instituteof Technology,1986
[307] Guriting, P., Ndubisi, N.O., Borneo Online Banking: Evaluating Customer Perceptions andBehavioural Intention [J]. Management Research News,29(1,2）,2006, pp.6-15
[308]杨霖华.个人网上银行使用意向影响因素研究[J].科技管理研究,5,2007, pp.140-143
[309]米利群.关于影响网上银行顾客满意度因素的实证分析[J].河北大学学报(哲学社会科学版),34(4),2009, pp.50-55
[310]邢丘丹,雷婷,李云飞.网上银行信息安全产品顾客满意度影响因素的实证研究[J].西南民族大学学报(人文社会科学版),10,2010, pp.175-179
[311] Pikkarainen, T., Pikkarainen, K., Karijaluoto, H., Pahnila, S., Customer acceptance ofon-line banking: an extension of the technology acceptance model [J]. Internet Research,3,2004,pp.224-235
[312]刘刚,黄苏萍.用户控制感知对网上银行持续使用行为的影响分析[J].经济理论与经济管理,1,2010, pp.58-61
[313] Polatoglu, V.N., Ekin, S., An empirical investigation of the Turkish consumer’s acceptanceof internet banking service [J]. The International Journal of Bank Marketing,19(4),2001,pp.156-165
[314] Luarn, P., Lin, H., Toward an Understanding of the Behavioral Intention to Use MobileBanking [J]. Computers in Human Behavior,2(1),2005, pp.873-891
[315]吴晓云,焦勇兵.顾客采用网络银行的影响因素研究[J].南开管理评论,11(6),2008,pp.18-27
[316] Yoon, C., Antecedents of customer satisfaction with online banking in China: The effects ofexperience [J]. Computers in Human Behavior,26,2010, pp.1296-1304
[317] Suh, B., Han, I., Effect of trust on customer acceptance of Internet banking [J]. ElectronicCommerce Research and Applications,1,2002, pp.247-263
[318] Yui, C.S., Grant, K., Edgard, D., Factors affecting the adoption of Internet Banking in HongKong-implications for the banking sector [J]. International Journal of Information Management,27,2007, pp.336-351
[319] Bander Alsajjan, Charles Dennis. Internet banking acceptance model: Cross-marketexamination [J]. Journal of Business Research,63,2010, pp.957-963
[320] Liao, Z., Cheung, M.T., Internet-based e-banking and consumer attitudes: an empirical study[J]. Information&Management,39(4),2002, pp.283-295
[321] Al-Somali, S.A., Gholami, R., and Clegg, B., An investigation into the acceptance of onlinebanking in Saudi Arabia [J]. Technovation,29,2009, pp.130-141
[322] Fishbein, M., Ajzen, I., Belief, Attitude, Intention, and Behavior: An Introduction to Theoryand Research [M]. Reading, MA: Addison-Wesley,1975
[323] Ajzen, I., From intentions to actions: A theory of planned behavior, In J. Kuhl and J.Beckmann (eds), Action-control: From cognition to behavior, Heidelberg, Germany: Springer,1985, pp.11-39
[324] Tan, M., Teo, T.S.H., Factors Influencing the Adoption of Internet Banking [J]. Journal ofthe Association for Information Systems,1(5),2000, pp.1-42
[325]黄京华,李静婷.中国商业银行网上银行关键成功因素实证研究[J].系统工程理论与实践,3,2000, pp.16-24
[326]王文超.消费者对网上银行采用行为态度的影响因素研究一个基于TPB模型的延伸研究[J].生产力研究,7,2010, pp.74-76
[327] Lee, M.C., Factors influencing the adoption of internet banking: An integration of TAM andTPB with perceived risk and perceived benefit [J]. Electronic Commerce Research andApplications,8,2009, pp.130-141
[328]戴卓,李再跃.基于计划行为理论的个人网上银行使用研究[J].数学的实践与认识,40(13),2010, pp.88-94
[329]刘刚,黄苏萍.用户控制感知对网上银行持续使用行为的影响分析[J].经济理论与经济管理,1,2010, pp.58-61
[330] Mathieson, K., Predicting User Intentions: Comparing the Technology Acceptance Modelwith the Theory of Planned Behavior [J]. Information Systems Research,2(3),1991, pp.173-191