• DocumentCode
    1725500
  • Title

    Study on forecasting equilibrium of matrix game based on grey information of players´ decision rules

  • Author

    Zha Sheng-zhong ; Wang Wen-ping

  • Author_Institution
    Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
  • fYear
    2011
  • Firstpage
    566
  • Lastpage
    570
  • Abstract
    Outsiders and players usually behave different information about game, which may have different purposes about the game. This paper develops a novel approach for the above game that players have more than one decision rules and implement them by probabilities which may be interval numbers. So that outsiders can use this approach to forecast the equilibrium of the game, corresponding probability and the payoff if the probability distributions of alternative decision rules are known. In fact, the given approach can be regarded as an extension of the classic strategic form representation of game as it can be used to analyze the game in which players have single decision rule as well.
  • Keywords
    forecasting theory; game theory; grey systems; matrix algebra; probability; grey information; matrix game equilibrium forecasting; players decision rules; probability distributions; Biology; Companies; Games; Predictive models; decision rule; equilibrium; grey system; strategic form representation of game;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044022
  • Filename
    6044022