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Issue title: Special Section: Fuzzy Decision Making and Applications in Knowledge Management
Guest editors: Justin Zhang
Article type: Research Article
Authors: Jiang, Zibin; * | Tian, Tian
Affiliations: College of Business Administration, Hunan University, Changsha, Hunan, PR China
Correspondence: [*] Corresponding author. Zibin Jiang, College of Business Administration, Hunan University, Changsha, Hunan, 410082, PR China. Tel./Fax:+86-0731-88822899; E-mail: [email protected].
Abstract: Currently, with the rapid development of the globalization and the increasing competition of the market, competitions among enterprises gradually give way to competitions between supply chains, and the relationship between enterprises within the supply chain gradually shift from competition to cooperation. In China, although the development trend of cooperation is inevitable, but the supply chain management is immature, especially for the large number of manufacturing corporations, most of which lack professional experiences. All of these have important theoretical and practical meaning for the supply chain collaboration and supply chain performance evaluation of manufacturing corporations. In this paper, we investigate the multiple attribute decision making(MADM) problems using the hesitant triangular fuzzy information. Then, we have developed the hesitant triangular fuzzy geometric Bonferroni Mean (HTFGBM) operator and hesitant triangular fuzzy weighted geometric Bonferroni Mean (HTFWGBM) operator. We have utilized the HTFWGBM operator to MADM for evaluating the performance of supply chain cooperation for manufacturing corporations with hesitant triangular fuzzy information. Finally, an illustrative example is proposed to demonstrate the effectiveness of our proposed method.
Keywords: Multiple attribute decision making, hesitant triangular fuzzy geometric Bonferroni Mean (HTFGBM) operator, hesitant triangular fuzzy weighted geometric Bonferroni Mean (HTFWGBM) operator, supply chain cooperation, manufacturing corporations
DOI: 10.3233/JIFS-179233
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 1687-1694, 2019
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