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Research on Evaluation Method of Green Suppliers Under Pythagorean Fuzzy Environment

Author

Listed:
  • Jianhua Wang

    (Business School, Jiangnan University, Wuxi 214122, China)

  • Nan An

    (Business School, Jiangnan University, Wuxi 214122, China)

Abstract

The evaluation and selection of green suppliers, as an important part of the process of creating a green supply chain, has received attention from enterprises and scholars. However, the evaluation and selection of green suppliers is a complex multi-criteria decision-making problem, and the evaluation information provided by experts is often ambiguous, so it is difficult to obtain reasonable and accurate assessment results. Therefore, this paper proposes a green supplier evaluation model of Pythagorean fuzzy approximation of ideal solution ranking (Technology for Order Preference by Similarity to Ideal Solution, or TOPSIS). The model utilizes Pythagorean fuzzy sets to deal with fuzzy expert opinions and the TOPSIS method to obtain the ranking of alternative suppliers. In addition, the model calculates the criterion weights using the entropy weighting method in the fuzzy environment. Finally, the model proposed in this paper is used to help Company A determine the optimal green supplier selection object, and the effectiveness and superiority of the model are verified through a comparative analysis with existing green supplier evaluation models.

Suggested Citation

  • Jianhua Wang & Nan An, 2024. "Research on Evaluation Method of Green Suppliers Under Pythagorean Fuzzy Environment," Sustainability, MDPI, vol. 16(20), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:9124-:d:1503335
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    References listed on IDEAS

    as
    1. Dan-Ping Li & Li Xie & Peng-Fei Cheng & Xiang-Hong Zhou & Cheng-Xun Fu, 2021. "Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model," SAGE Open, , vol. 11(4), pages 21582440211, November.
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