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author:

Nan, Jiang-Xia (Nan, Jiang-Xia.) [1] | Wei, Cheng-Lin (Wei, Cheng-Lin.) [2] | Li, Deng-Feng (Li, Deng-Feng.) [3]

Indexed by:

EI

Abstract:

The aim of this paper is to develop an effective methodology for solving matrix games with payoffs of intuitionistic fuzzy sets (IFSs). In this methodology, a new ranking order relation of IFSs is proposed and the concept of Pareto Nash equilibrium solutions of matrix games with IFS payoffs is firstly defined. It is proven that the solutions of matrix games with IFS payoffs are equivalent to those of a pair of bi-objective programming models. The models and method proposed in this paper are illustrated with a numerical example and compared with other methods to show the validity, applicability and superiority. © Springer Nature Singapore Pte Ltd. 2017.

Keyword:

Computation theory Computer programming Fuzzy sets Game theory Multiobjective optimization Numerical methods Pareto principle

Community:

  • [ 1 ] [Nan, Jiang-Xia]School of Mathematics and Computing Science, Guangxi Colleges, Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin; Guangxi; 541004, China
  • [ 2 ] [Wei, Cheng-Lin]School of Mathematics and Computing Science, Guangxi Colleges, Universities Key Laboratory of Data Analysis and Computation, Guilin University of Electronic Technology, Guilin; Guangxi; 541004, China
  • [ 3 ] [Li, Deng-Feng]School of Economics and Management, Fuzhou University, Fuzhou; Fujian; 350108, China

Reprint 's Address:

  • [nan, jiang-xia]school of mathematics and computing science, guangxi colleges, universities key laboratory of data analysis and computation, guilin university of electronic technology, guilin; guangxi; 541004, china

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Source :

ISSN: 1865-0929

Year: 2017

Volume: 758

Page: 148-161

Language: English

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: 0

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