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Third-party Reverse Logistics Supplier Optimization Method Based on TFN-AHP and Entropy Combination Model

机译:基于TFN-AHP和熵组合模型的第三方逆向物流供应商优化方法

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On the basis of analyzing the advantages of the third-party reverse logistics, this paper proposed a new modeling method of combining TFN-AHP and entropy aiming at the hot issues of third-party reverse logistics supplier selection. The model comprehensively considered the advantages of subjective and objective weightings, introducing a concept of triangular fuzzy numbers (TFN) in the evaluating process, which could overcome the inherent flaws of traditional analytic hierarchy process (AHP). This method can determine the third-party reverse logistics supplier evaluation indicators system scientifically and solve the supplier optimization problem, owning a high credibility.
机译:在分析第三方逆向物流供应商优势的基础上,针对第三方逆向物流供应商选择的热点问题,提出了一种结合TFN-AHP和熵的建模方法。该模型综合考虑了主观和客观加权的优势,在评估过程中引入了三角模糊数(TFN)的概念,可以克服传统层次分析法(AHP)的固有缺陷。该方法可以科学地确定第三方逆向物流供应商评价指标体系,解决供应商优化问题,具有较高的信誉度。

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