Paper Info
Title
A fuzzy multi-criteria group decision making based on ranking interval type-2 fuzzy variables and an application to transportation mode selection problem
Abstract
Abstract In this paper, we propose a fuzzy multi-criteria group decision-making method based on ranking interval type-2 fuzzy variables. First, we present a ranking method developed by relative preference index which we define using generalized credibility measure to rank interval type-2 fuzzy variables. Then, based on the proposed ranking method, we develop a new method to solve fuzzy multi-criteria group decision-making (FMCGDM) problems where linguistic ratings of the alternatives and the criteria weights are represented by interval type-2 fuzzy variables. The proposed FMCGDM method is applied to a transportation mode selection problem to find most preferable mode among available modes based on some selection criteria. The proposed method is simple in computation and important as it uses interval type-2 fuzzy variables which are more reasonable and sensible to represent linguistic terms rather than by type-1 fuzzy variables. A numerical experiment has been done to illustrate the proposed method.
Year
DOI
Venue
2017
10.1007/s00500-015-1990-0
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Keywords
Field
DocType
Interval type-2 fuzzy variable,Ranking fuzzy variables,Fuzzy multi-criteria group decision making,Generalized credibility,Transportation mode selection
Data mining,Fuzzy classification,Computer science,Fuzzy set operations,Fuzzy mathematics,Fuzzy set,Artificial intelligence,Fuzzy number,Mathematical optimization,Defuzzification,Fuzzy logic,Type-2 fuzzy sets and systems,Machine learning
Journal
Volume
Issue
ISSN
21
11
1432-7643
Citations 
PageRank 
References 
6
0.43
25
Authors
3
Name
Order
Citations
PageRank
Pradip Kundu1985.68
Samarjit Kar260863.41
Manoranjan Maiti351447.77