Research on the supplier selection model of closed-loop logistics systems with hesitant fuzzy information¹

Article type: Research Article

Authors: Yu, Miao^a | Qi, Xiaoguang^{b; *} | Shen, Guoyun^a

Affiliations: [a] China University of Political Science and Law, Beijing, China | [b] Wolfson College, University of Cambridge, Cambridge, UK

Correspondence: [*] Corresponding author. Xiaoguang Qi, Wolfson College, University of Cambridge, Cambridge, UK. Tel.: +86 013691038955; Fax: +86 10 68918132; E-mail: [email protected].

Note: [1] Sponsored by NSF of China (Grant No. L142200010).

Abstract: With the legislation is perfected and the useful resources decreased day by day, there are more and more enterprises are interested in closed-loop logistic systems, especially about remanufacturing logistics and reusing logistics. As we know, location, routing, and inventory are the most important factors in logistic systems, and there are closed relationships among them. In this paper, we study on the multiple attribute decision making with hesitant fuzzy information. Inspired from the idea of induced OWG (IOWG) operator, we propose the induced hesitant fuzzy Hamacher ordered weighted geometric (IHFHOWG) operator and then utilize IHFHOWG operator to develop a novel method for multiple attribute decision making with hesitant fuzzy information. In the end, an illustrative example for supplier selection is proposed to test the developed method and to show the effectiveness of the proposed algorithm.

Keywords: Multiple attribute decision making, hesitant fuzzy information, induced hesitant fuzzy Hamacher ordered weighted geometric (IHFHOWG) operator, induced OWG operator, supplier selection

DOI: 10.3233/IFS-162090

Journal: Journal of Intelligent & Fuzzy Systems, vol. 30, no. 6, pp. 3431-3437, 2016