Issue:A multiattribute decision making approach using intuitionistic fuzzy sets

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Title of paper: A multiattribute decision making approach using intuitionistic fuzzy sets Author(s): Deng-Feng Li Manchester School of Management, University of Manchester Institute of Science and Technology, Manchester M60 1QD, UK D.Li@umist.ac.uk (corresponding author) Jian-Bo Yang Manchester School of Management, University of Manchester Institute of Science and Technology, Manchester M60 1QD, UK Jian-Bo.Yang@umist.ac.uk Presented at: 3rd Conference of the European Society for Fuzzy Logic and Technology, Zittau, Germany, September 10-12, 2003 Published in: Conference proceedings, pages 183-186 Download:  PDF (150  Kb, File info) Abstract: The concept of intuitionistic fuzzy sets is the generalization of the concept of fuzzy sets. The theory of intuitionistic fuzzy sets is well suited to dealing with vagueness. Recently, intuitionistic fuzzy sets have been used to build soft decision making models that can accommodate imprecise information, and two solution concepts about the intuitionistic fuzzy core and the consensus winner for group decision making have also been developed by other researchers using intuitionistic fuzzy sets. However, it seems that there is little investigation on multicriteria and/or group decision making using intuitionistic fuzzy sets with multiple criteria being explicitly taken into account. In this paper, multiattribute decision making using intuitionistic fuzzy sets is investigated, in which multiple criteria are explicitly considered, several linear programming models are constructed to generate optimal weights for attributes, and the corresponding decision making methods have also been proposed. Feasibility and effectiveness of the proposed method are illustrated using a numerical example. Keywords: Fuzzy sets, Intuitionistic fuzzy sets, Multiattribute decision making, Linear programming model References: K. T. Atanassov (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20: 87-96. K. T. Atanassov (1999). Intuitionistic Fuzzy Sets: Theory and Applications. Springer-Verlag, Heidelberg. S. K. De, R. Biswas and A. R. Roy (2001). An application of intuitionistic fuzzy sets in medical diagnosis. Fuzzy Sets and Systems, 117: 209-213. C. L. Hwang and K. Yoon (1981). Multiple Attribute Decision Making: Methods and Applications, A State of the Art Survey. Springer-Verlag, Berlin. E. Szmidt and J. Kacprzyk (1996). Intuitionistic fuzzy sets in group decision making. NIFS, 2(1): 15-32. E. Szmidt and J. Kacprzyk (1996). Remarks on some applications of intuitionistic fuzzy sets in decision making. NIFS, 2(3): 22-31. E. Szmidt and J. Kacprzyk (1996). Group decision making via intuitionistic fuzzy sets. FUBEST’96, pages 107-112, Sofia, Bulgaria, October 9-11, 1996. E. Szmidt and J. Kacprzyk (1997). Intuitionistic fuzzy sets for more realistic group decision making. International Conference on Transition to Advanced Market Institutions and Economies, pages 430-433, Warsaw, June 18-21, 1997. E. Szmidt and J. Kacprzyk (2001). Distances between intuitionistic fuzzy sets. Fuzzy Sets and Systems, 114: 505-518. L. A. Zadeh (1965). Fuzzy sets. Inform. and Control, 8: 338-356. Citations: The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.