Abstract
As people pursue the concept of green and low carbon, green supply chain is a key link of development, and the selection of its key green suppliers plays a crucial role in green development. As the decision making of green suppliers involves many factors, many experts need to make decisions together, the selection of green supplier can be regarded as a problem of multiple attribute group decision making (MAGDM). Thus, this manuscript collected information in probabilistic hesitant fuzzy (PHF) environment and using CRITIC method to obtain the unknown weighting among criterions. Further, a MADM framework develop a novel QUALItative FLEXible (QUALIFLEX) method based on cumulative prospect theory (CPT) with the PHF information was constructed to conduct the selection problem. Finally, a numerical case of green supplier selection was illustrated with this proposed model, and other methods were utilized to compare with PHF-CPT-QUALIFLEX method to verify the feasibility and applicability.
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Acknowledgements
The work was supported by the Sichuan Province Social Development Key R&D Projects under Grant No. 2023YFS0375 and Natural Science Foundation of Sichuan Province under Grant No. 2022NSFSC1821.
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Wang, Z., Cai, Q., Wei, G. et al. Green Supplier Selection Using QUALIFLEX Method Based on Cumulative Prospective Theory Under Probabilistic Hesitant Fuzzy Circumstance. Int. J. Fuzzy Syst. 25, 3293–3304 (2023). https://doi.org/10.1007/s40815-023-01621-y
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DOI: https://doi.org/10.1007/s40815-023-01621-y