Evaluation and Selection of Steel Raw Material Suppliers in the Context of ESG

Authors

  • Yuhua Shi Shanghai University, Shanghai 200444, China

DOI:

https://doi.org/10.54691/0ez0b367

Keywords:

Supplier Selection, Interval-Valued Fuzzy Set, ANP Method, CoCoSo Method

Abstract

With the rapid development of the world economy, Environmental pollution is becoming increasingly serious. For the steel industry, high-quality steel raw material suppliers can help steel enterprises better improve steel quality and achieve ESG (Environmental, Social and Governance-related) friendliness. And gain a competitive advantage. Therefore, this paper proposes a new model based on IVPFS(Interval-Valued Pythagorean Fuzzy Set) and CoCoSo (Combined Compromise Solution) to solve the problems in vendor evaluation process. In this paper, the ambiguity and uncertainty in expert evaluation can be solved by introducing interval-valued fuzzy sets. On this basis, Analytic Network Process (ANP) method is used to calculate the weights of evaluation indicators, and CoCoSo method is used to sort alternative suppliers.The method proposed in this article is conducive to urging relevant enterprises to make improvements and provides a new direction for enterprise transformation.

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Published

2026-03-09

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Articles

How to Cite

Shi, Y. (2026). Evaluation and Selection of Steel Raw Material Suppliers in the Context of ESG. Academic Journal of Finance and Accounting, 1(1), 19-25. https://doi.org/10.54691/0ez0b367