Fuzzy Nash Equilibrium in Fuzzy Games Using Ranking Fuzzy Numbers

被引：0

作者：

Chakeri, Alireza ^{[1
]}

Sadati, Nasser ^{[2
,3
]}

Sharifian, Setareh ^{[1
,4
]}

机构：

[1] Isfahan Univ Technol, Dept Elect Engn, Esfahan, Iran

[2] Sharif Univ Technol, Dept Elect Engn, Intelligent Sys Lab, Tehran, Iran

[3] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada

[4] Isfahan Univ Tech, Dept Elect Engn, Esfahan, Iran

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) | 2010年

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 traditional game theory, the players play with policy of maximizing their payoffs. In real world, there are many situations where payoffs have uncertainty and are fuzzy in nature. In this paper, a new method for finding pure strategy Nash equilibriums, to realistically analyze the games with fuzzy payoffs is investigated. Using ranking fuzzy numbers, a fuzzy preference relation is constructed over payoffs. The priorities of payoffs are considered as the degree of being Nash equilibriums.

引用

页数：5

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