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Interactive fuzzy programming for multi-level 0-1 programming problems with fuzzy parameters through genetic algorithms

机译:遗传算法求解含模糊参数的多级0-1规划问题的交互式模糊规划

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In this paper, we propose interactive fuzzy programming for multi-level 0-1 programming problems with fuzzy para- meters through genetic algorithms. Our method can be applied to hierarchical decision problems in which decision makers have their own objective functions but they can coordinate their decisions, that is, whey are essentially cooperative. After determining the fuzzy goals of the decision makers at all levels, a satisfactory solution is derived efficiently by updating satisfactory levels of the decision makers with considerations of overall satisfactory balance among all levels. An illustrative numerical example for a three-level 0-1 programming problem is provided to demonstrate the feasibility of the proposed method.
机译:在本文中,我们通过遗传算法为带有模糊参数的多层次0-1规划问题提出了交互式模糊规划。我们的方法可以应用于决策者具有自己的目标功能但可以协调决策的分层决策问题,即乳清本质上是合作的。在确定各个级别决策者的模糊目标之后,通过考虑各个级别之间总体上令人满意的平衡来更新决策者的满意级别,可以有效地得出令人满意的解决方案。提供了一个针对三级0-1编程问题的说明性数值示例,以证明所提出方法的可行性。

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