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References Atanassov, K. (1986), “Intuitionistic fuzzy sets,” Fuzzy Sets and Systems, Vol.20, No.1, pp.87-96. Atanassov, K., and Gargov, G. (1989), “Interval-valued intuitionistic fuzzy sets,” Fuzzy Sets and Systems, Vol. 31, No. 3, pp.343-349. Bellman, R.E., and Zadeh, L.A. (1970), “Decision Making in a fuzzy environment,” Management Science, Vol. 17, No. 4, pp.141-164. Buckley, J.J. (1984), “The multiple judge, multiple criteria ranking problem: A fuzzy set approach,” Fuzzy Sets and Systems, Vol. 13, No. 1, pp.25-37. Buckley, J.J. (1985), “Fuzzy hierarchical analysis,” Fuzzy Sets and Systems, Vol. 17, No. 3, pp.233-247. Burillo, P., and Bustince, H. (1996), “Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets,” Fuzzy Sets and Systems, Vol. 78, No. 3, pp.305-316. Capocelli, R.M., and De Luca, A. (1973), “Fuzzy sets and decision theory,” Information and Control, Vol. 23, No. 5, pp.446-473. Chen, S.J., and Hwang, C.L. (1992), Fuzzy Multiple Attribute Decision Making Methods and Applications, Berlin/Heidelberg/New York: Springer- Veralg. Chen, S.M., and Tan, J.M. (1994), “Handling multicriteria fuzzy decision-making problems based on vague set theory,” Fuzzy Sets and Systems, Vol. 67, No. 2, pp.163-172. Chen, Y., and Qu, L. (2006), “Evaluating the selection of logistics centre location using fuzzy MCDM model based on entropy weight,” Proceeding of the 6th World Congress on Intelligent Control and Automation. Chen, W., and Xia, J.H. (2007), “An optimal weights combination method considering both subjective and objective weight information,” Mathematics in Practice and Theory, Vol. 37, No. 1, pp.17-22. Chiang, C.S., Wu, P.L., Chiang, S.T., Chang, Y.C., Chan, F.T., Chang, S.T., and Wen, K.L. (1998), Introduction of Grey Theory, (In Chinese) Gau-Lih. Chu, A.T.W., Kalaba, R.E., and Spingarn, K. (1979), “A comparison of two methods for determining the weights of belonging to fuzzy sets,” Journal of Optimization Theory and Application, Vol. 27, No. 4, pp.531-538. Churchman, C.W., and Ackoff, R.L. (1957), Introduction to Operations Research, New York: John-Wiley. De Luca, A., and Termini, S. (1972), “A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory,” Information and Control, Vol. 20, No. 4, pp.301-312.
Deng, J.L. (1989), “Introduction to grey system theory,” Journal of Grey System, Vol. 1, No. 1, pp.1-24. Diakoulaki, D., Mavrotas§, G., and Papayannakis¶, L. (1995), “Determing objective weights in multiple criteria problems: The critic method,” Computers and Operations Research, Vol. 22, No. 7, pp.763-770. Dubois, D., and Prade, H. (1980), Fuzzy Sets and systems: Theory and Applications, New York: Academic Press. Edwards, W., and Barron, F.H. (1994), “SMARTS and SMARTER: Improved simple methods for multiattribute utility measurement,” Organizational Behavior and Human Decision Processes, “Vol. 60, No. 3, pp.306-325. Guo, H.L., and Huang, D.X. (2007), “Weight integration method without preference on multi-attribute decision making,” Journal of Southwest Jiaotong University, Vol. 42, No. 4, pp.505-510. Gau, W.L., and Buehrer, D.J. (1993), “Vague sets,” IEEE Transactions on Systems Man and Cybernetics, Vol. 23, No. 2, pp.610-614. Hong, D.H., and Choi, C.H. (2000), “Multicriteria fuzzy decision-making problems based on vague set theory,” Fuzzy Sets and Systems, Vol. 114, No. 1, pp.103-113. Hsu, T.H. (1998), “Fuzzy delphi hierarchy process,” (In Chinese) Journal of the Chinese Fuzzy Systems Association, Vol. 4, No. 1, pp.59-72. Huang, D.X., Wu, Z.Y., and Zong, Y.Z. (2004), “An impersonal multi-attribute weight allocation method based on attribute importance,” Systems Engineering-Theory Methodology Applications, Vol. 13, No. 3, pp.203-207. Hung, W.L. (2003), “A note on entropy of intuitionistic fuzzy sets,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 11, No. 5, pp.627-634. Hung, W.L., and Yang, M.S. (2006), “Fuzzy entropy on intuitionistic fuzzy sets,” International Journal of Intelligent Systems, Vol. 21, No. 4, pp.443-451. Hwang, C.L. and Yoon, K. (1981), Multiple Attribute Decision Making-Methods and Applications, A state-of-the-art survey, New York: Springer-Verlag. Kickert, W.J.M. (1978), Fuzzy Theories on Decision-Making-A Critical Review, Boston: Kluwer Academic Publishers. Laarhoved, P.J.M., and Perdrycz, W. (1983), “A fuzzy extension of Saaty’s priority theory,” Fuzzy Sets and Systems, Vol. 11, No. 1-3, pp.229-224. Li, D.F. (2005), “Multiatribute decision making models and methods using intuitionistic fuzzy sets,” Journal of Computer System Sciences, Vol. 70, No. 1, pp.73-85.
Li, F., Lu, A., and Cai, L. (2001), “Methods of multi-criteria fuzzy decision making based on vague sets,” (in Chinese) Journal of Huazhong University of Science and Technology, Vol. 29, No. 7, pp.1-3. Li, X.H., Li, Y.M., Gu, Z.H., and Yang, W.D. (2004), “Competitive situation analysis of regional logistics development based on AHP and entropy weight,” Journal of Southeast University, Vol. 34, No. 3, pp.398-401. Lin, L., Yuan, X.H., and Xia, Z.Q. (2007), “Mulicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets,” Journal of Computer and Systems Sciences, Vol. 73, No. 1, pp.84-88. Liu, X.C. (1992), “Entropy distance measure and similarity measure of fuzzy sets and their relations,” Fuzzy Sets and Systems, Vol. 52, No. 3, pp.305-318. Liu, H.W., and Wang, G.J. (2007), “Multi-criteria decision-making methods based on intuitionistic fuzzy sets,” European Journal of Operational Research, Vol. 179, No. 1, pp.220-233. Ishikawa, A., Amagasa, T., Tamizawa, G., Totsuta, R., and Mieno, H. (1993), “The max-min Delphi method and fuzzy Delphi method via fuzzy integration,” Fuzzy Sets and Systems, Vol. 55, No. 3, pp.241-253. Islei, G., and Lockett, A.G. (1988), “Judgment modeling based on geometric least square,” European Journal of Operational Research, Vol. 36, No. 1, pp.27-35. Ma, J., Fan, Z.P., and Huang, L.H. (1999), “A subjective and objective integrated approach to determine attribute weights,” European Journal of Operational Research, Vol. 112, No. 2, pp.397-404. Mahdipoor, H.R. (2006), “Flow pattern recognition in tray columns with MADM (multiple attribute decision maling) method,” Computers and Chemical Engineering, Vol. 30, No. 6-7, pp.1197-1200. Nijkamp, P. (1977), “Stochastic quantitative and qualitative multicriteria analysis for environmental design,” Papers of the Regional Science Associaiton, Vol. 39, No. 2, pp.175-199. Prato, T. (1999), “Multiple attribute decision analysis for ecosystem management,” Ecological Economics, Vol. 63, No. 2-3, pp.627-632. Saaty, T.L. (1980), The Analytic Hierarchy Process, New York: Mcgraw-Hill. Shu, L.C., Chang, C.S., and Wang, F.F. (2007), “Optimization of environmental monitoring sites by entropy weight multiobject decision model,” Environmental Engineering, Vol. 25, No. 1, pp.61-63. Srinivasan, V., and Shocker, A.D. (1973), “Linear programming techniques for multidimensional analysis of preference,” Psychometrika, Vol. 38, No. 3, pp.337-369.
Szmidt, E., and Kacprzyk, J. (2000), “Distances between intuitionistic fuzzy sets,” Fuzzy Sets and Systems, Vol. 114, No. 3, pp.505-518. Szmidt, E., and Kacprzyk, J. (2001), “Entropy for intuitionistic fuzzy sets,” Fuzzy Sets and Systems, Vol. 118, No. 3, pp.467-477. Takeda, E., Cogger, K.O., and Yu, P.L. (1987), “Estimating criterion weights using eigenvectors: A comparative study,” European Journal of Operational Research, Vol. 29, No. 3, pp.360-639. Tong, Q.H. (2002), “The application of primary element analyzing methods in the index synthetic evaluation,” Journal of Beijing Institute of Technology Social Sciences Edition, Vol. 4, No. 1, pp.59-61. Vlachos, I. K., and Sergiadis, G. D. (2007), “Subsethood, entropy, and cardinality for interval-valued fuzzy sets-An algebraic derivation,” Fuzzy Sets and Systems, Vol. 158, No. 12, pp.1384-1396. Vlachos, I. K., and Sergiadis, G. D. (2007), “Intuitionistic fuzzy information- Applications to pattern recognition,” Pattern Recognition Letters, Vol. 28, No. 2, pp.197-206. Wang, J.Q. (2006), “A multi-criteria interval intuitionistic fuzzy decision-making approach with incomplete certain information,” (in Chinese) Proceedings of Control and Decision Conference 2007, pp.1195-1198. Wang, Z.X., and Li, Q.X. (2006), “An approach to integrate the final weights based on the subjective and objective weights,” Communication on Applied Mathematics and Computation, Vol. 20, No. 1, pp.87-92. Wang, W., and Xin, X. (2005), “Distances measure between intuitionistic fuzzy sets,” Pattern Recognition Letters, Vol. 26, No. 1, pp.2053-2069. Wang, J.Q., and Zhang, Z. (2006), “Compromise approach on multi-criteria intuitionistic fuzzy decision-making with incomplete certain information,” (in Chinese) Control and Decision, Vol. 21 No. 11 pp.1-5 Wu, J., Liang, C.Y., and Li, W.N. (2007), “Method to determine attribute weights based on subjective and objective integrated,” Systems Engineering and Electronics, Vol. 29, No. 3, pp.383-387. Xu, X.Z. (2004), “A note on the subjective and objective integrated approach to determine attribute weights,” European Journal of Operations Research, Vol. 156, No. 2, pp.530-532. Xu, Z. (2007), “Some similarity measures of intuitionistic fuzzy sets and their applications to multiple attribute decision making,” Fuzzy Optimization and Decision Making, Vol. 6, No. 2, pp.109-121. Zadeh, L.A. (1965), “Fuzzy sets,” Information and Control, Vol. 8, No. 3, pp.338-353. Zeleny, M. (1976), “The attribute-dynamic attribute model,” Management Science, Vol. 23, No. 1, pp.12-26. Zeleny, M. (1982), Multiple Criteria Decision Making, New York: Graw-Hill. Zeng, W., and Li, H. (2006), “Relationship between similarity measure and entropy of interval valued fuzzy sets,” Fuzzy Sets and Systems, Vol.157, No.11, pp.1477-1484. Zhou, W.K. (2004), “ Objective weighting in multi-object decision making under fuzzy preference,” (in Chinese) Journal of Shanghai University, Vol. 10, No. 4, pp.410-412. Zimmermann, H.J. (1985), Fuzzy Set Theory and Its Application, Boston: Kluewer Academic Publishers. Zou, Z.H., Yun, Y., and Sun, J.N. (2006), “Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment,” Journal of Environmental Science, “Vol. 18, No. 5, pp.1020-1023.
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