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