基于直觉模糊多属性决策的逆向物流供应商选择  

Selection of reverse logistical suppliers based on intuitionistic fuzzy multiple attribute decision making

作　　者：郭子雪[1] 张运通[1] 田雨[1] 曹秀萌 王子柱[2] GUO Zixue;ZHANG Yuntong;TIAN Yu;CAO Xiumeng;WANG Zizhu(School of Management,Hebei University,Baoding 071002,China;Library,Hebei University,Baoding 071002,China)

机构地区：[1]河北大学管理学院,河北保定071002 [2]河北大学图书馆,河北保定071002

出　　处：《河北大学学报（自然科学版）》2021年第6期638-644,共7页Journal of Hebei University(Natural Science Edition)

基　　金：国家社科基金资助项目(20BTJ012);河北大学哲学社会科学培育项目(2019HPY035);保定市社科规划课题(2020046);河北省研究生创新资助项目(CXZZBS2020011)。

摘　　要：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.

关 键 词：逆向物流 供应商选择 直觉模糊熵 直觉模糊加权平均算子 

分 类 号：C934[经济管理—管理学] F252