Dual hesitant fuzzy aggregation operators in multiple attribute decision making
Journal of Intelligent & Fuzzy SystemsPublished 1 January 2014
Hongjun Wang, Xiaofei Zhao, Guiwu Wei
Citations186
SJR quartileQ2
SJR score0.36
SNIP0.62
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TL;DR
This paper has developed some aggregation operators for aggregating dual hesitant fuzzy information and utilized these operators to develop some approaches to solve the dual hesitant fuzzy multiple attribute decision making problems.
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.
Keywords
Decision SciencesBusiness, Management and AccountingEnvironmental Science
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