Primal fuzzy programming and inverse fuzzy programming problems

Yian-Kui Liu, Baoding Liu
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引用次数: 1

Abstract

Fuzzy variable is a function from a possibility space to the real line. In this paper, two classes of fuzzy programming problems with fuzzy variable coefficients are presented. The first one is called primal fuzzy programming problem whose objective is a chance function defined by possibility measure, while the second one is called inverse fuzzy programming problem whose objective is a critical value function. Generally, the difficulties of solving the two fuzzy programming problems are different. Thus, to solve the problems effectively, we prove two main results which show solving one of the problems is equivalent to solving its counterpart.
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原始模糊规划与逆模糊规划问题
模糊变量是一个从可能性空间到实线的函数。本文研究了两类模糊变系数模糊规划问题。一类是目标为可能性测度定义的机会函数的原始模糊规划问题,另一类是目标为临界值函数的逆模糊规划问题。一般来说,这两种模糊规划问题的求解难度是不同的。因此,为了有效地解决问题,我们证明了两个主要结果,表明解决其中一个问题等于解决另一个问题。
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