Research on Green Supplier Selection Based on Hesitant Fuzzy Set and Extended LINMAP Method

In the process of selecting green suppliers, there are hesitant information and preference differences, which affect the accuracy of decision-making results. The aim of this paper is to introduce a novel green supplier selection (GSS) approach considering the uncertain information and preference of decision makers (DMs). First, the relevant definitions of hesitant fuzzy set (HFS) are introduced. Then, the specific decision-making process of GSS based on the LINMAP method and HFS is given. In the decision process, the preference set is used to consider the preference degree of DMs to different suppliers, and the evaluation information of DMs is aggregated by HFWA operator. Further, the consistency and inconsistency of the decision-making are analyzed by calculating the TOPSIS indexes, and the optimal supplier is selected. Finally, the feasibility and validity of the proposed approach is illustrated by sensitivity analysis and case study.