逆向物流供应商选择是典型的多属性决策问题.针对逆向物流供应商选择问题的特点,提出一种基于直觉模糊熵的逆向物流供应商选择问题的直觉模糊多属性决策方法.在回顾相关基础理论知识基础上,建立了逆向物流供应商评价指标体系,给出了基于直觉模糊熵的评价指标权重的确定方法,然后运用直觉模糊加权平均算子对二级指标信息集结,得到逆向物流供应商选择问题的直觉模糊决策矩阵,提出了基于直觉模糊熵和TOPSIS法(逼近理想解的排序方法)的逆向物流供应商评价方法.最后通过数值分析验证了该方法的可行性与有效性.
Selecting reverse logistics supplier is a typical multi-attribute decision-making problem. According to the characteristics of reverse logistics supplier selection, this paper proposes an intuitionistic fuzzy multi-attribute decision-making method for reverse logistics supplier selection based on intuitionistic fuzzy entropy. On the basis of reviewing relevant basic theoretical knowledge, the reverse logistics supplier evaluation index system is established, and the method to determine the weight of evaluation index based on intuitionistic fuzzy entropy is given. Then, the intuitionistic fuzzy weighted average operator is used to aggregate the two-level index information, and the intuitionistic fuzzy decision matrix of reverse logistics supplier selection problem is obtained. Finally, a reverse logistics supplier evaluation method based on intuitionistic fuzzy entropy and TOPSIS is proposed. The feasibility and effectiveness of the proposed method in this paper are verified by the final numerical analysis.
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