Affiliations: [a] School of Business, Sichuan Normal University, Chengdu, P.R. China
| [b] School of Finance, Southwestern University of Finance and Economics, Chengdu, P.R. China
Correspondence:
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Corresponding author. Zhiwei Jiang, School of Business, Sichuan Normal University, Chengdu, 610101, P.R. China. E-mail: [email protected].
Abstract: In the garment manufacturing industry, purchasing management is an important link. The materials of making clothes often need high cost. In addition, customers put forward a request in the quality of clothes. Thus, choosing an optimal supplier is an essential part of job. Reaching cooperation with an optimal supplier not only can help garment manufacturer improve the quality of clothes but also is benefit to reduce the cost of producing. Most importantly, it can improve the competitiveness of manufacture enterprises. So, it is important for managers to find an optimal supplier and make a cooperation with it. In this paper, we analysis an issue about choosing an optimal supplier during four different suppliers. With analyzing this problem, we can introduce an extended method under picture fuzzy environment to evaluate and choose an optimal supplier. In this article, we describe some basic knowledges about picture fuzzy sets (PFSs) and picture fuzzy numbers (PFNs). Then, we introduce the extension of MABAC method which is on the basis of prospect theory (PT) with picture fuzzy numbers (PF-PT-MABAC) and utilize the PF-PT-MABAC model to evaluate different suppliers to choose an optimal supplier. Finally, we compare the result of PF-PT-MABAC with the result of traditional MABAC, PFWG operators and traditional TODIM method to test the efficiency of PF-PT-MABAC model.
Keywords: Multiple attribute group decision making (MAGDM), picture fuzzy sets (PFSs), MABAC method, prospect theory (PT), suppliers selection
