Fuzzy information fusion approach for supplier selection

Abstract

Supplier selection plays an important role in supply chain system. In order to select the suitable suppliers, some methods of supplier selection have been studied extensively in fuzzy environment. In this paper, a fuzzy information fusion approach based on generalized fuzzy numbers (GFNs) is proposed to select the best supplier. Some aggregation operators with GFNs are also proposed. In addition, a new ranking formula based on mean values of GFNs is adopted to rank the suppliers. Finally, an empirical study of supplier selection is introduced to illustrate the proposed method. The results indicate that the proposed method could meet the different evaluation requirements of decision makers and offer an effective and practical way to select the best supplier.