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首页> 外文期刊>International Journal of Production Research >Using integrated fuzzy DEMATEL and fuzzy C: means algorithm for supplier evaluation and selection
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Using integrated fuzzy DEMATEL and fuzzy C: means algorithm for supplier evaluation and selection

机译：使用集成的模糊DEMATEL和模糊C：均值算法进行供应商评估和选择

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摘要

Decision-making techniques are used to help evaluate the current suppliers' aim at classifying performance of individual suppliers against desired levels of performance, so as to design suitable plans to increase the performance and capabilities of suppliers. In this study, an integrated model is introduced and proposed for increasing the supplier selection and evaluation quality. The methodology is composed of two steps. The first stage is fuzzy decision-making trial and evaluation laboratory method in which the interactions between the evaluation criteria and the criteria weight have been computed. At the second stage, performances of suppliers are assessed using both the criteria weights obtained at the first stage and fuzzy c-means clustering algorithm by classifying the vendors according to their performances. Obtained results show that the proposed model is very well suited as a decision-making tool for supplier selection decisions.
机译：决策技术用于帮助评估当前供应商的目标，即根据期望的绩效水平对单个供应商的绩效进行分类，从而设计合适的计划以提高供应商的绩效和能力。在这项研究中，引入并提出了一个集成模型来提高供应商的选择和评估质量。该方法包括两个步骤。第一阶段是模糊决策试验和评估实验室方法，其中计算了评估标准和标准权重之间的相互作用。在第二阶段，通过根据供应商的表现对供应商进行分类，使用在第一阶段获得的标准权重和模糊c均值聚类算法对供应商的表现进行评估。获得的结果表明，所提出的模型非常适合作为供应商选择决策的决策工具。

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