Green supplier selection model with hesitant fuzzy information

Article type: Research Article

Authors: Tang, Shu-Lin^*

Affiliations: School of Economics and Management, Harbin Engineering University, Harbin, China

Correspondence: [*] Corresponding author. Shu-Lin Tang, School of Economics and Management, Harbin Engineering University, Harbin 150001, China. Tel./Fax: +86 0451 82519916; E-mail: [email protected].

Abstract: Along with the quick development of economic, the corporeal civilization has been elevated enormously. At the same time, the resource was decreased increasingly, and the environment that the human lived on faced threaten. Since 20th90, the “green tidal wave” has been risen all over the world. The green revolution that aimed at sustainable development was very flourish, which has influenced various domains, including supply chain management. The green supply chain management (GSCM) was imperative under the situation. During the operation of GSCM, the core manufacture with strength and foresight played an important role. In this paper, we investigate the multiple attribute decision making for green supplier selection with hesitant fuzzy information. Inspired by the power aggregation, we propose the hesitant fuzzy Hamacher power weighted average (HFHPWA) operator and then utilize this operator to solve the multiple attribute decision making for green supplier selection with hesitant fuzzy information. In the end, an example of green supplier selection is proposed to testify our method.

Keywords: Multiple attribute decision making, hesitant fuzzy information, hesitant fuzzy Hamacher power weighted average (HFHPWA) operator, green supplier selection

DOI: 10.3233/JIFS-151377

Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 1, pp. 189-195, 2017