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An Approach to Selection of Agricultural Product Supplier Using Pythagorean Fuzzy Sets

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  • Lina Dai
  • Shizhen Bai

Abstract

The selection of agricultural product supplier is an important link to optimize the supply chain management of agricultural products. Due to the uncertainty factors and the lack of decision-makers’ cognition, the selection of agricultural products suppliers has become a very complex and difficult work. Therefore, in order to effectively deal with these problems, this study proposes an agricultural product supplier selection algorithm based on the Pythagorean fuzzy power Bonferroni mean operator under Pythagorean fuzzy environment. In this method, first, the power operator and Bonferroni mean operator are combined and embedded in the Pythagorean fuzzy sets to build a Pythagorean fuzzy power Bonferroni mean operator. Then, a multiattribute decision-making method based on the operator proposed in this paper is proposed. Finally, an analysis of examples of agricultural product supplier selection is given to verify the rationality and effectiveness of this method.

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  • Lina Dai & Shizhen Bai, 2020. "An Approach to Selection of Agricultural Product Supplier Using Pythagorean Fuzzy Sets," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-7, August.
    • Handle: RePEc:hin:jnlmpe:1816028
    DOI: 10.1155/2020/1816028
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    Cited by:

    1. Pasura Aungkulanon & Walailak Atthirawong & Pongchanun Luangpaiboon & Wirachchaya Chanpuypetch, 2024. "Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection," Mathematics, MDPI, vol. 12(10), pages 1-42, May.

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