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
Link To Document :
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