16-17 May 2019 • Sofia, Bulgaria

Submission: 21 February 2019Notification: 11 March 2019Final Version: 1 April 2019

Issue:A multiattribute decision making approach using intuitionistic fuzzy sets

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http://ifigenia.org/wiki/issue:eusflat-2003-183-186
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.LiAt sign.pngumist.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.YangAt sign.pngumist.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
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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
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