Information Aggregation and Psychological Risk Dual-Driven Sustainable Supplier Selection Method Based on Extended Fuzzy Set and Choquet Integral

A novel sustainable supplier selection (SSS) method is proposed to address the interrelation among attributes and the psychological state and risk attitude of decision-makers (DMs). The method integrates proportional interval type-2 hesitant fuzzy sets (PIT2HFSs), a generalized Shapley-based aggregation operator, and a modified regret theory combined with a normalized bidirectional projection (NBP) measure. The aggregation operators handle the correlations among attributes, while the NBP and regret theory reflect DMs’ risk preferences by considering both the best and worst alternatives. An application case study in a manufacturing enterprise, along with sensitivity and comparative analyses, demonstrates the effectiveness and robustness of the proposed approach. The results indicate that the method outperforms existing approaches in handling attribute interdependencies, decision uncertainty, and human risk behavior, providing a comprehensive and practical framework for sustainable supplier selection in the manufacturing industry.

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Publication Details

Journal
Symmetry
Published
2026-03-12
DOI
https://doi.org/10.3390/sym18030489
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00

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article

Information Aggregation and Psychological Risk Dual-Driven Sustainable Supplier Selection Method Based on Extended Fuzzy Set and Choquet Integral

FeiYan Li, Yong Chen, Jian Ren, KeTing Ye et al.
Symmetry
Multi-Criteria Decision Making
article

Information Aggregation and Psychological Risk Dual-Driven Sustainable Supplier Selection Method Based on Extended Fuzzy Set and Choquet Integral

FeiYan Li, Yong Chen, Jian Ren, KeTing Ye, Tianyang Yin
article en

Abstract

A novel sustainable supplier selection (SSS) method is proposed to address the interrelation among attributes and the psychological state and risk attitude of decision-makers (DMs). The method integrates proportional interval type-2 hesitant fuzzy sets (PIT2HFSs), a generalized Shapley-based aggregation operator, and a modified regret theory combined with a normalized bidirectional projection (NBP) measure. The aggregation operators handle the correlations among attributes, while the NBP and regret theory reflect DMs’ risk preferences by considering both the best and worst alternatives. An application case study in a manufacturing enterprise, along with sensitivity and comparative analyses, demonstrates the effectiveness and robustness of the proposed approach. The results indicate that the method outperforms existing approaches in handling attribute interdependencies, decision uncertainty, and human risk behavior, providing a comprehensive and practical framework for sustainable supplier selection in the manufacturing industry.

SymmetryVol. 18(3)
Hunan University of Science and Technology (CN), Hunan University (CN), Changsha University (CN), Culture Resource (EG), Changsha University of Science and Technology (CN)
National Natural Science Foundation of China, Hunan University, Chinese Academy of Engineering
Openalex Percentile: Top 29%
Multi-Criteria Decision Making
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Information Aggregation and Psychological Risk Dual-Driven Sustainable Supplier Selection Method Based on Extended Fuzzy Set and Choquet Integral — FeiYan Li, Yong Chen, et al. · Symmetry (2026) | TGRS Research Map | TGRS