• DocumentCode
    1519771
  • Title

    Fuzzy approaches to the game of Chicken

  • Author

    Li, Kevin W. ; Karray, Fakhreddine ; Hipel, Keith W. ; Kilgour, D. Marc

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • Volume
    9
  • Issue
    4
  • fYear
    2001
  • fDate
    8/1/2001 12:00:00 AM
  • Firstpage
    608
  • Lastpage
    623
  • Abstract
    Game theory deals with decision-making processes involving two or more parties, also known as players, with partly or completely conflicting interests. Decision-makers in a conflict must often make their decisions under risk and under unclear or fuzzy information. In this paper, two distinct fuzzy approaches are employed to investigate an extensively studied 2×2 game model-the game of Chicken. The first approach uses a fuzzy multicriteria decision analysis method to obtain optimal strategies for the players. It incorporates subjective factors into the decision-makers´ objectives and aggregates objectives using a weight vector. The second approach applies the theory of fuzzy moves (TFM) to the game of Chicken. The theory of moves (TOM) is designed to bring a dynamic dimension to the classical theory of games by allowing decision-makers to look ahead for one or several steps so that they can make a better decision. TOM is the crisp counterpart of TFM, the approach we implement here to deal with games that include fuzzy and uncertain information. The application of fuzzy approaches to the game of Chicken demonstrates their effectiveness in manipulating subjective, uncertain, and fuzzy information and provides valuable insights into the strategic aspects of Chicken
  • Keywords
    decision theory; fuzzy set theory; game theory; optimisation; 2×2 game; Chicken; TFM; TOM; conflict; decision-making processes; fuzzy information; fuzzy moves; fuzzy multicriteria decision analysis; objective aggregation; optimal strategies; risk; subjective factors; unclear information; Aggregates; Cost function; Decision making; Design engineering; Fuzzy set theory; Game theory; History; Nash equilibrium; Statistics; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/91.940972
  • Filename
    940972