Model for multiple attribute decision making with hesitant fuzzy information and their application

Article type: Research Article

Authors: Lin, Rui

Affiliations: Department of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: Department of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, China. E-mail: [email protected].

Abstract: In this paper, we investigate the MADM problems with hesitant fuzzy values (HFEs). Then, we utilize the Hamy mean (HM) operator and weighted Hamy mean (WHM) operator to develop some Hamy mean aggregation operators with HFEs: hesitant fuzzy Hamy mean (HFHM) operator and hesitant fuzzy weighted Hamy mean (HFWHM) operator. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the MADM problems with HFEs. Finally, a practical example for green suppliers selection in green supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords: Multiple attribute decision making (MADM), hesitant fuzzy sets (HFSs), HFHM operator, HFWHM operator, green supplier selection, green supply chain management

DOI: 10.3233/KES-190410

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 23, no. 3, pp. 181-189, 2019