Affiliations: [a]
School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
| [b]
Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
Correspondence:
[*]
Corresponding author. N. Foroozesh, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. E-mail: [email protected].
Abstract: This study presents a new soft computing approach based on failure mode and effects analysis (FMEA)’s concept for sustainable supplier selection problem (SSSP) in the light of multi-attributes decision analysis. The approach determines weights of experts by considering interval-valued fuzzy sets (IVFSs) and asymmetric uncertainty information simultaneously. The presented group decision approach assesses the sustainable suppliers as indicated by risks of economic, social and environmental measurements. Ideas of fuzzy possibilistic statistical modeling are brought into the soft computing approach. New definitions are enhanced by fuzzy possibilistic statistical positive and negative ideal solutions. In addition, new relations of fuzzy evaluating and prioritizing of the risks are presented. Then, an application example is tackled by the presented soft computing approach to exhibit its capacity by three measurements of the sustainability for the evaluation of sustainable suppliers.
Keywords: Sustainable supplier selection problem, soft computing approach, group decision making process, weights of experts, interval-valued fuzzy possibilistic modeling
