• DocumentCode
    2224089
  • Title

    Fuzzy equilibria for games involving n > 2 players

  • Author

    Nagy, Réka ; Dumitrescu, D. ; Lung, Rodica Ioana

  • Author_Institution
    Babes-Bolyai Univ., Cluj-Napoca, Romania
  • fYear
    2011
  • fDate
    5-8 June 2011
  • Firstpage
    2655
  • Lastpage
    2661
  • Abstract
    Generative relations represent a powerful algebraic tool for characterizing and detecting game equilibria. Generative relations are particularly useful for defining new classes of equilibria, for example joint equilibria. In order to avoid difficulties for games involving many players (n ≥ 2) a new generative relation for fuzzy Nash-Pareto equilibrium is introduced. An evolutionary procedure relying on this generative relation is used for detecting several types of fuzzy equilibria. Experimental results indicate the effectiveness and robustness of the proposed approach.
  • Keywords
    Pareto optimisation; fuzzy set theory; game theory; fuzzy Nash-Pareto equilibrium; game equilibria detection; generative relations; powerful algebraic tool; Economics; Games; Lungs; Nash equilibrium; Silicon; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2011 IEEE Congress on
  • Conference_Location
    New Orleans, LA
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-7834-7
  • Type

    conf

  • DOI
    10.1109/CEC.2011.5949950
  • Filename
    5949950