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Three Equilibrium Strategies for Two-Person Zero-Sum Game with Fuzzy Payoffs

机译:三人零和比赛与模糊收益的三个均衡策略

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In this paper, a two-person zero-sum game is considered, in which the payoffs are characterized as fuzzy variables. Based on possibility measure, credibility measure, and fuzzy expected value operator, three types of concept of minimax equilibrium strategies, r-possible minimax equilibrium strategy, r- credible minimax equilibrium strategy, and expected minimax equilibrium strategy, are defined. An iterative algorithm based on fuzzy simulation is designed to find the equilibrium strategies. Finally, a numerical example is provided to illustrate the effectiveness of the algorithm.
机译:在本文中,考虑了一个双人的零和游戏,其中收益表征为模糊变量。基于可能性措施,可信度测量和模糊预期值运算符,定义了三种类型的最小均衡策略,r-可能的最小均衡策略,r-可信的最小均衡策略和预期的最小均衡策略。一种基于模糊仿真的迭代算法旨在找到均衡策略。最后,提供了一个数字示例以说明算法的有效性。

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