Three equilibrium strategies for two-person zero-sum game with fuzzy payoffs

被引：0
|
作者：
Xu, L [1 ]
Zhao, RQ [1 ]
Shu, TT [1 ]
机构：
[1] Tianjin Univ, Inst Syst Engn, Tianjin 300072, Peoples R China
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS | 2005年 / 3613卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a two-person zero-sum game is considered, in which the payoffs are characterized as fuzzy variables. Based on possibility measure, credibility measure, and fuzzy expected value operator, three types of concept of minimax equilibrium strategies, r-possible minimax equilibrium strategy, r-credible minimax equilibrium strategy, and expected minimax equilibrium strategy, are defined. An iterative algorithm based on fuzzy simulation is designed to find the equilibrium strategies. Finally, a numerical example is provided to illustrate the effectiveness of the algorithm.
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页码：350 / 354
页数：5
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