基于机会测度的模糊随机不等式的简单确定性等价

Hui Wang, Hong-tao Zhang, Zhixiang Yin
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引用次数: 0

摘要

许多模糊随机最优决策问题往往在约束条件中包含模糊随机不等式,这使得优化求解过程更加复杂。如何将模糊随机不等式转化为简单等价,对于简化求解过程具有重要意义。在可信度测度的基础上,讨论了在一定程度的满意度测度下模糊随机不等式转化为确定性随机不等式的问题。同时,给出了随机变量为正态分布时确定性等价的机会测度的表示公式。
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The Simple Deterministic Equivalents of Fuzzy Random Inequality Based on Chance Measure
Many optimal fuzzy random decision making problems often involve fuzzy random inequalities in the constraints, which makes the process of optimization’s solution more complicatedly. How to transform fuzzy random inequalities to the simple equivalents, will be of great significance for simplifying the solution process. Based on the credibility measure, we discuss the problem that fuzzy random inequalities are converted into deterministic ones under the certain level of satisfaction measure. In the meantime, we give the chance measure’s expressive formula of deterministic equivalents when the random variable is normally distributes.
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