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An algorithm for minimizing a linear objective function subject to the fuzzy relation inequalities with addition-min composition

机译:用加法最小组合最小化受模糊关系不等式约束的线性目标函数的算法

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In this paper, we study the optimal solution of minimizing a linear objective function subject to the fuzzy relation inequalities with addition-min composition. We first discuss some properties about the minimal solutions of fuzzy relation inequalities with addition-min composition, and define the pseudo-minimal indexes of this system. Next we give an algorithm to get the set of the pseudo-minimal indexes, which is called PMI algorithm. Finally, we obtain an algorithm for this optimization system by utilizing these concepts and results. The example is provided to show that our algorithm is simple and convenient.
机译:在本文中,我们研究了最小化线性目标函数的最优解,该线性目标函数受具有加法最小组成的模糊关系不等式的约束。我们首先讨论具有加法最小组成的模糊关系不等式的最小解的一些性质,并定义该系统的伪最小指标。接下来,我们给出一种获取伪最小索引集的算法,称为PMI算法。最后,我们利用这些概念和结果为该优化系统获得了一种算法。提供的例子表明,我们的算法既简单又方便。

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