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

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Abstract

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.

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Acknowledgements

The authors would like to thank the anonymous reviewers and editors for their insightful and constructive comments on our paper. This work was supported in part by the Doctoral Project of Chongqing Federation of Social Science Circles under Grant 2018BS71 and the Humanities, Social Sciences Research General Project of Chongqing Education Commission under Grant 18SKGH045, Research Center for Cyber Society Development Problems under Chongqing Municipal Key Research (No. 2018skjd06), National Social Science Fund of Chongqing University of Posts and Telecommunications (No. 2017KZD10).

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Zhang, N., Zhou, Q. & Wei, G. Research on Green Supplier Selection Based on Hesitant Fuzzy Set and Extended LINMAP Method. Int. J. Fuzzy Syst. 24, 3057–3066 (2022). https://doi.org/10.1007/s40815-022-01250-x

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