基于模糊共识的可能性测度与TOPSIS相结合的混合方法在植物选择问题中的应用

Idris Igoulalene, L. Benyoucef
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引用次数: 5

摘要

当前供应链活动的复杂性要求供应链合作伙伴之间的协调,以最大限度地提高效率。本文提出了一种新的混合方法来解决选择问题。将该问题表述为多专家多准则(MEMC)决策问题,并将基于共识的可能性测度与TOPSIS方法相结合,在模糊环境下求解该问题。为了证明该方法的适用性,给出了一个简单的植物选择问题实例,并对数值结果进行了分析。
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A hybrid approach combining fuzzy consensus-based possibility measure and TOPSIS: Application to the plant selection problem
The current complexity of supply chains (SC) activities requires the need for coordination between supply chains partners to maximize the efficiency. This paper addresses the development of a new hybrid approach for the selection problem. The problem is formulated as a multi-expert multi-criteria (MEMC) decision making problem and solved by combining consensus-based possibility measure with TOPSIS method in a fuzzy environment. To demonstrate the applicability of the proposed approach, a simple example of plant selection problem is presented and the numerical results analyzed.
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