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Green Logistics Partner Selection Based on Pythagorean Hesitant Fuzzy Set and Multiobjective Optimization

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  • Tangchun Guan
  • Zaoli Yang

Abstract

With the deepening of the uncertainty and fuzziness of people’s understanding of things, it becomes more convenient to use fuzzy decision making in evaluating schemes. These schemes not only include quantitative data but also consider more and more uncertainty evaluation information. In fuzzy theory, the Pythagorean fuzzy set is extended, both of which are less than or equal to 1, which increases the scope of application. This paper mainly studies the selection of green logistics. Based on the original TOPSIS principle, this paper introduces a Pythagorean fuzzy symmetric cross entropy to describe the difference between two Pythagorean fuzzy numbers and proves its rationality. The model is applied to the selection of green logistics and compared with the results obtained by other different methods, which also shows the effectiveness and practicability of the model. It extends the use of fuzzy sets and can solve some problems that cannot be solved by intuitionistic fuzzy sets before.

Suggested Citation

  • Tangchun Guan & Zaoli Yang, 2022. "Green Logistics Partner Selection Based on Pythagorean Hesitant Fuzzy Set and Multiobjective Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, June.
    • Handle: RePEc:hin:jnlmpe:6993066
    DOI: 10.1155/2022/6993066
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    Cited by:

    1. Hang Jiang & Taipeng Sun & Beini Zhuang & Jiangqiu Wu, 2023. "Determinants of Low-Carbon Logistics Capability Based on Dynamic fsQCA: Evidence from China’s Provincial Panel Data," Sustainability, MDPI, vol. 15(14), pages 1-19, July.

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