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Extension of the ELECTRE method based on interval-valued fuzzy sets

机译:基于区间值模糊集的ELECTRE方法的扩展

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Decision-making is the process of finding the best option among the feasible alternatives. In classical multiple criteria decision-making (MCDM) methods, the ratings and the weights of the criteria are known precisely. However, if decision makers cannot reach an agreement on the method of defining linguistic variables based on the fuzzy sets, the interval-valued fuzzy set theory can provide a more accurate modeling. In this paper, the interval-valued fuzzy ELECTRE method is presented aiming at solving MCDM problems in which the weights of criteria are unequal, using interval-valued fuzzy set concepts. For the purpose of proving the validity of the proposed model, we present a numerical example and build a practical maintenance strategy selection problem.
机译:决策是在可行方案中寻找最佳选择的过程。在经典的多准则决策(MCDM)方法中,准则的等级和权重是精确已知的。但是,如果决策者不能就基于模糊集的语言变量定义方法达成共识,则区间值模糊集理论可以提供更准确的建模。本文针对区间权值模糊集的概念,提出了一种区间权值模糊ELECTRE方法,旨在解决标准权重不相等的MCDM问题。为了证明所提模型的有效性,我们给出了一个数值例子,并建立了一个实用的维修策略选择问题。

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