作者
Guangxu Li, Gang Kou, Yi Peng
发表日期
2016
研讨会论文
International Conference on Oriental Thinking and Fuzzy Logic: Celebration of the 50th Anniversary in the era of Complex Systems and Big Data
页码范围
51-63
出版商
Springer International Publishing
简介
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.
引用总数
学术搜索中的文章
G Li, G Kou, Y Peng - International Conference on Oriental Thinking and …, 2016