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
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