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
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;
Conference_Titel :
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-7834-7
DOI :
10.1109/CEC.2011.5949950