Work

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

Year: 2026

Type: article

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.

Source: Symmetry

DOI: 10.3390/sym18030489

Authors: Jian Ren, Feiyan Li, Keting Ye, Shuang Chen, Tianyang Yin

Institution: Hunan University of Technology and Business

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $2,896

Funders: National Natural Science Foundation of China, Hunan University, Chinese Academy of Engineering