模糊粗糙连续静态博弈的纳什均衡解

M. Zidan, Y. A. Abonaga, M. Shokry
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引用次数: 2

摘要

模糊粗糙是用来度量连续静态博弈中各种模糊性和不精确性较高的不确定性。本文提出了一类目标函数和约束具有模糊粗糙性的模糊粗糙连续静态对策(FRGSG)。利用-切法将模糊部分转化为确定性部分,将粗糙度部分转化为上下近似模型对应的两个问题,得到了四种情况。给出了确定模糊粗糙连续静态对策纳什平衡点的必要条件,并给出了一个数值算例来支持理论结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nash - Equilibrium solutions for Fuzzy Rough Continuous Static Games
Fuzzy rough is used to measure the various uncertainties with high vagueness and imprecision in continuous static games.In this article we develop a new class de ned as fuzzy rough continuous static games (FRGSG) in which the objective functions and the constraints have fuzzy rough nature.The fuzzy part is converted into deterministic ones by utilizing the -cut methodology and the roughness part is transformed into two problems corresponding to the upper and lower approximation models thus, the result is four cases.The necessary conditions for determining Nash- Equilibrium points of fuzzy rough continuousstatic games are achieved and a numerical example is performed to support the theoretical claims.
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