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The non-cooperative games are investigated in uncertainty environment. We established an operator to maximize fuzzy variables based on the extension principle, namely, Fmax operator. Then, the Nash equilibrium strategy of fuzzy model was given by introducing the fuzzy max order and the fuzzy max operator. Furthermore, some useful conclusions in crisp game theory were generalized to non-symmetrical...
The purpose of this paper is to introduce a two-person zero-sum matrix game in which the payoffs are characterized as fuzzy variables. Based on "a"-optimistic and "a" -pessimistic value of fuzzy variable, two new kinds of minimax equilibrium strategies are provided and two-person zero-sum matrix game which is equivalence to appropriate pair of fuzzy linear programming models is...
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