A Novel Multi-Criteria Decision Making Method based on The Ranking Values of Interval Type-2 Fuzzy Sets: An Application of a Manager Selection for a Telecommunication Company

Authors : Nimet YAPICI PEHLİVAN, Aynur ŞAHİN

Pages : 290-296

View : 19 | Download : 10

Publication Date : 2018-10-05

Article Type : Research Paper

Abstract :Type-2 fuzzy sets insert ignore into journalissuearticles values(T2FSs);, characterized by a fuzzy membership function, are much useful tool for representing the decision knowledge in the decision making process. Interval Type-2 fuzzy sets insert ignore into journalissuearticles values(IT2FSs); are the most commonly used T2FSs.  In this study, a method based upon ranking values of IT2FSs is used to tackle multi-criteria decision making insert ignore into journalissuearticles values(MCDM); problems. First, some basic concepts and arithmetic operations for IT2FSs are presented. Then, three kinds of fuzzy ranking methods, proposed by [1], based on arithmetic average insert ignore into journalissuearticles values(AA);, geometric average insert ignore into journalissuearticles values(GA); and harmonic average insert ignore into journalissuearticles values(HA); operators to compute the ranking values of IT2FSs are applied. Finally, the outcomes of MCDM methods based on the ranking values of IT2FSs are obtained and also compared with the Technique for Order of Preference by Similarity to Ideal Solution insert ignore into journalissuearticles values(TOPSIS); method based on Type-1 fuzzy sets insert ignore into journalissuearticles values(T1FSs); for a numerical example.
Keywords : Multi criteria decision making, Interval Type 2 fuzzy sets, Fuzzy ranking methods