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Fuzzy Cooperative Games of Two Players under Uncertainty Conditions

机译:不确定条件下两个参与者的模糊合作博弈

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Fuzzy games of two persons under uncertainty conditions are considered. For its solution the generalization of two games theory was developed based on fuzzy mathematical programing. Fuzzy antagonistic game of two persons is formulated, its mathematical model is constructed which is fuzzy linear programing problem. Fuzzy minimax theorem for optimal strategies of players is formulated (analogue of John von Neumann). Cooperative bi-matrix game under uncertainty conditions is also considered and generalization of Nash theorem for fuzzy conditions is developed. Its model was constructed and method of finding best compromise strategies of level $lpha$ was suggested. The theorem for best solutions (fuzzy Nash point) was formulated. The example of application of the suggested approach is presented and investigated
机译:考虑了不确定条件下两个人的模糊博弈。为了解决这个问题,基于模糊数学编程发展了两个博弈论的概括。建立了两个人的模糊对抗博弈,建立了模糊线性规划问题的数学模型。制定了用于玩家最优策略的模糊极小极大定理(John von Neumann的类似物)。还考虑了不确定条件下的合作双矩阵博弈,并发展了模糊条件下的纳什定理的推广。构建了其模型,并提出了找到$ \ alpha $级别的最佳折衷策略的方法。提出了最佳解(模糊纳什点)定理。提出并研究了建议方法的应用示例

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