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author:

Nan, J.-X. (Nan, J.-X..) [1] | Li, D.-F. (Li, D.-F..) [2] | An, J.-J. (An, J.-J..) [3]

Indexed by:

Scopus

Abstract:

The aim of this paper is to develop a new methodology for solving bi-matrix games in which goals are regarded as intuitionistic fuzzy (IF) sets (IFSs) and payoffs are expressed with triangular IF numbers (TIFNs). In this methodology, a new ranking method of TIFNs is proposed and the concept of IF inequalities is interpreted. An IF non-linear programming model is constructed to obtain the solution for such a type of bi-matrix games. Then utilizing these IF inequalities and the ranking method of TIFNs proposed in this paper, the solution of any bi-matrix game with goals of IFSs and payoffs of TIFNs can be transformed into a crisp non-linear programming problem. It is shown that the bi-matrix game with goals of IFSs and payoffs of TIFNs is a generalization of the bi-matrix game with goals of fuzzy sets and payoffs of triangular fuzzy numbers. The method proposed in this paper is demonstrated with a numerical example of commerce retailers' strategy choice problem. © 2017-IOS Press and the authors. All rights reserved.

Keyword:

bi-matrix game; intuitionistic fuzzy number; intuitionistic fuzzy optimization; Intuitionistic fuzzy set; ranking method

Community:

  • [ 1 ] [Nan, J.-X.]School of Mathematics and Computing Science, Guangxi Colleges, Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin, Guangxi, China
  • [ 2 ] [Li, D.-F.]School of Economics and Management, Fuzhou University, Fuzhou, Fujian, China
  • [ 3 ] [An, J.-J.]School of Economics and Management, Fuzhou University, Fuzhou, Fujian, China

Reprint 's Address:

  • [Li, D.-F.]School of Economics and Management, Fuzhou UniversityChina

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Source :

Journal of Intelligent and Fuzzy Systems

ISSN: 1064-1246

Year: 2017

Issue: 6

Volume: 33

Page: 3723-3732

1 . 4 2 6

JCR@2017

1 . 7 0 0

JCR@2023

ESI HC Threshold:187

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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