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Fuzzy nash equilibrium in fuzzy games using ranking fuzzy numbers

Chakeri, A ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1109/FUZZY.2010.5584733
  3. Publisher: 2010
  4. Abstract:
  5. 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
  6. Keywords:
  7. Fuzzy payoff ; Fuzzy preference relations ; Nash Equilibrium ; Ranking fuzzy numbers ; Fuzzy rules ; Fuzzy sets ; Game theory ; Phase equilibria ; Artificial intelligence
  8. Source: 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, 18 July 2010 through 23 July 2010 ; July , 2010 ; 9781424469208 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/5584733