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
Link To Document :
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