Possibilistic programming models of fuzzy two-zero sum games

Jin Hui Pang*, Qiang Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Under fuzzy game environment, the problem of how to ascertain equilibrium strategies in fuzzy two-person zero-sum games was considered. Fuzzy measures were introduced to describe player's preferences. Four fuzzy preference types were put forward, and its fuzzy possibilistic programming models were also given. Based on this, a new approach to solve the equilibrium strategies was gained. The equilibrium strategies obtained by this means are the realized equilibrium strategies with fuzzy preference.

Original languageEnglish
Pages (from-to)837-842
Number of pages6
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume27
Issue number9
Publication statusPublished - Sept 2007

Keywords

  • Equilibrium strategies
  • Fuzzy games
  • Fuzzy preference
  • Two-person zero-sum

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