Dual hesitant fuzzy aggregation operators in multiple attribute decision making

Abstract

In this paper, we investigate the multiple attribute decision making MADM problem based on the aggregation operators with dual hesitant fuzzy information. Then, motivated by the ideal of arithmetic and geometric operation, we have developed some aggregation operators for aggregating dual hesitant fuzzy information: dual hesitant fuzzy weighted average DHFWA operator, dual hesitant fuzzy weighted geometric DHFWG operator, dual hesitant fuzzy ordered weighted average DHFOWA operator, dual hesitant fuzzy ordered weighted geometric DHFOWG operator, dual hesitant fuzzy hybrid average DHFHA operator and dual hesitant fuzzy hybrid geometric DHFHG operator. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant fuzzy multiple attribute decision making problems. Finally, a practical example for potential evaluation of emerging technology commercialization with dual hesitant fuzzy information is given to verify the developed approach and to demonstrate its practicality and effectiveness.