Integrating The Entropy and Picture Fuzzy Set Methods to Process Supplier Selection Issues
DOI:
https://doi.org/10.23055/ijietap.2025.32.3.10533Abstract
Many factors must be considered when selecting suitable and stable suppliers. It directly affects the success and sustainable development of supply chains, is a complex multi-criteria decision-making (MCDM) problem, and is a core issue for supply chains. Due to the COVID-19 outbreak, the supply and demand of supply chains worldwide have been severely imbalanced. The overall economic environment remains uncertain after the epidemic, so it is challenging for experts to effectively apply traditional MCDM research methods to evaluate and select suppliers. Therefore, this study integrates the entropy and picture fuzzy set methods and the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) approach to process supplier selection issues. In the numerical verification, this study uses aquatic product e-commerce for supplier selection as an illustrative example to further verify the effectiveness and applicability of the proposed methods. The calculation results were compared with the typical fuzzy set, the intuitionistic fuzzy set, and the original picture fuzzy set. The numerical verification results comparing the different listed calculation methods show that the proposed method can overcome the unclear, missing, or incomplete evaluation information and effectively handle the MCDM problem in the fuzzy environment.
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