Algorithms for multiple attribute decision making with dual hesitant Pythagorean fuzzy information and their application to supplier selection

Article type: Research Article

Authors: Li, Xu-Yang

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

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

Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators and Choquet integral with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation and Choquet integral, we have developed some Hamacher correlated operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators is studied. Then, we have utilized these two operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy MADM problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords: Multiple attribute decision making (MADM), dual Pythagorean hesitant fuzzy numbers, dual hesitant Pythagorean fuzzy Hamacher correlated average (DHPFHCA) operator, dual hesitant Pythagorean fuzzy Hamacher correlated geometric (DHPFHCG) operator, supplier selection, supply chain management

DOI: 10.3233/KES-210089

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 25, no. 4, pp. 465-475, 2021