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

doi:10.3969/j.issn.1000-1565.2021.06.002

Abstract

Abstract: 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.

Key words: reverse logistics, supplier selection, intuitionistic fuzzy entropy, intuitionistic fuzzy weighted average operator

CLC Number:

C934
F252

GUO Zixue, ZHANG Yuntong, TIAN Yu, CAO Xiumeng, WANG Zizhu. Selection of reverse logistical suppliers based on intuitionistic fuzzy multiple attribute decision making[J]. Journal of Hebei University(Natural Science Edition), 2021, 41(6): 638-644.

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