Dual hesitant pythagorean fuzzy Hamacher aggregation operators in multiple attribute decision making
Archives of Control SciencesPublished 26 September 2017Open access
Guiwu Wei, Lu Mao
Citations173
SJR quartileQ3
SJR score0.28
SNIP0.56
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TL;DR
This paper has developed some Hamacher aggregation operators for aggregating dual hesitant Pythagorean fuzzy information and utilized these operators to develop some approaches to solve the dual hesitant fuzzy multiple attribute decision making problems.
Abstract
Abstract In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation, we have developed some Hamacher aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making 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
Decision SciencesEngineering
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