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Evaluating suppliers via a multiple levels multiple criteria decision making method under fuzzy environment

机译:模糊环境下多层次多准则决策方法对供应商的评价

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摘要

Suppliers are an important component of the supply chain. Their ability and performance are what largely determine the success or failure of the supply chain. Thus the evaluation of suppliers has become a very important part of the supply chain management of a company. This paper suggests a multiple levels multiple criteria decision making (MCDM) model under fuzzy environment to evaluate and select suppliers, where a general hierarchical structure is developed to depict the relationship among parent criteria and their sub-criteria and sub-sub-criteria and so on. These criteria are classified into quantitative and qualitative ones. The ratings of alternatives versus qualitative criteria and the importance weights of all criteria in the hierarchical structure are assessed in linguistic values represented by triangular fuzzy numbers. The ranking approach of center of area is suggested to rank all the fuzzy numbers before their weighted ratings aggregation. The final evaluation values of alternatives can then be obtained through the additive weighted ratings from the last to the first level in the criteria structure. Finally a numerical example demonstrates the feasibility of the proposed model.
机译:供应商是供应链的重要组成部分。它们的能力和绩效在很大程度上决定着供应链的成败。因此,对供应商的评估已成为公司供应链管理中非常重要的一部分。本文提出了一种在模糊环境下的多层次多准则决策模型(MCDM),用于评估和选择供应商。在该模型中,开发了一种通用的层次结构来描述父准则及其子准则和子准则之间的关系。上。这些标准分为定量标准和定性标准。备选方案的等级与定性标准的比较以及分层结构中所有标准的重要性权重均以三角模糊数表示的语言值进行评估。建议使用区域中心的排序方法对所有模糊数进行加权评分聚合之前对其进行排名。然后,可以通过从标准结构中的最后一级到第一级的累加加权评级来获得替代方案的最终评估值。最后通过数值例子验证了该模型的可行性。

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