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Equilibrium solutions in bimatrix games with fuzzy payoffs

机译:具有模糊收益的双矩阵博弈中的平衡解

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When game theory is applied to real world problems such as decision making in public and managerial problems, there are occasions when it is difficult to assess exact payoffs because of inaccuracy in information and uncertainty of describingstates. To analyze such situations, games with fuzzy payoffs, in which payoffs are represented as fuzzy numbers, are often employed.In this paper, we consider equilibrium solutions in bimatrix games with fuzzy payoffs. First, we examine the case where there is no information on the preferences of players. The equilibrium solutions are defined from a viewpoint of possibility andnecessity, and existence conditions of the players are represented by fuzzy goals to the payoffs of the players and consider equilibrium solutions with respect to the attainment of each of their goals. Third, we assume that each player maximizes the meanof the fuzzy expected payoff and minimizes its spread, and then consider equilibrium solutions of the games with fuzzy payoffs in which the players optimize these objectives in accordance with their preferences.
机译:当博弈论应用于现实世界中的问题(例如,公共决策和管理问题)时,由于信息不准确和描述状态的不确定性,有时很难评估确切的收益。为了分析这种情况,经常使用带有模糊收益的博弈,其中收益用模糊数表示。本文考虑具有模糊收益的双矩阵博弈的平衡解。首先,我们研究没有参与者偏好信息的情况。从可能性和必要性的角度来定义均衡解,并且参与者的存在条件由模糊目标代表参与者的收益,并考虑与实现每个目标有关的均衡解。第三,我们假设每个玩家最大化模糊期望收益的均值并最小化其传播,然后考虑具有模糊收益的游戏的均衡解,其中玩家根据自己的偏好优化这些目标。

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