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A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection

Author

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  • Xiaoli Tian
  • Meiling Niu
  • Jiangshui Ma
  • Zeshui Xu

Abstract

TODIM is a well-known multiple-criteria decision-making (MCDM) which considers the bounded rationality of decision makers (DMs) based on prospect theory (PT). However, in the classical TODIM, the perceived probability weighting function and the difference of the risk attitudes for gains and losses are not consistent with the original idea of PT. Moreover, probabilistic hesitant fuzzy information shows its superiority in handling the situation that the DMs hesitate among several possible values with different possibilities. Hence, a novel TODIM with probabilistic hesitant fuzzy information is proposed in this paper to simulate the perceptions of the DMs in PT. To show the advantages of the proposed method, a novel TODIM is combined with hesitant fuzzy information. Finally, a case study is carried out to demonstrate the feasibility of the proposed method, and a series of comparative analyses and the sensitivity analyses are used to show the stability of the proposed method.

Suggested Citation

  • Xiaoli Tian & Meiling Niu & Jiangshui Ma & Zeshui Xu, 2020. "A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection," Complexity, Hindawi, vol. 2020, pages 1-26, December.
    • Handle: RePEc:hin:complx:2540798
    DOI: 10.1155/2020/2540798
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    Cited by:

    1. Divya Zindani & Saikat Ranjan Maity & Sumit Bhowmik, 2022. "A novel decision-making tool for performance evaluation of vegetable oils used as heat transfer fluids in concentrated solar power plants," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13334-13377, November.
    2. Yongzheng Zhang & Chunming Ye & Xiuli Geng, 2022. "A Hesitant Fuzzy Method for Evaluating Risky Cold Chain Suppliers Based on an Improved TODIM," Sustainability, MDPI, vol. 14(16), pages 1-23, August.

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