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Pareto-optimal solutions in fuzzy multi-objective linear programming

机译:模糊多目标线性规划中的帕累托最优解

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The problem of solving multi-objective linear-programming problems, by assuming that the decision maker has fuzzy goals for each of the objective functions, is addressed. Several methods have been proposed in the literature in order to obtain fuzzy-efficient solutions to fuzzy multi-objective programming problems. In this paper we show that, in the case that one of our goals is fully achieved, a fuzzy-efficient solution may not be Pareto-optimal and therefore we propose a general procedure to obtain a non-dominated solution, which is also fuzzy-efficient. Two numerical examples illustrate our procedure.
机译:通过假设决策者对每个目标函数都有模糊的目标,解决了解决多目标线性规划问题的问题。为了获得模糊多目标规划问题的模糊有效解,文献中提出了几种方法。在本文中,我们表明,在我们的目标之一完全实现的情况下,模糊有效解可能不是帕累托最优的,因此,我们提出了获取非主导解的通用过程,该过程也是模糊解。高效。两个数值示例说明了我们的过程。

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