Pythagorean fuzzy power aggregation operators in multiple attribute decision making
International Journal of Intelligent SystemsPublished 14 November 2017
Guiwu Wei, Mao Lu
Citations362
SJR quartileQ1
SJR score1.14
SNIP1.40
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TL;DR
The prominent characteristic of these proposed operators are studied and some approaches to solve the Pythagorean fuzzy multiple attribute decision‐making problems are developed.
Abstract
In this paper, we utilize power aggregation operators to develop some Pythagorean fuzzy power aggregation operators: Pythagorean fuzzy power average operator, Pythagorean fuzzy power geometric operator, Pythagorean fuzzy power weighted average operator, Pythagorean fuzzy power weighted geometric operator, Pythagorean fuzzy power ordered weighted average operator, Pythagorean fuzzy power ordered weighted geometric operator, Pythagorean fuzzy power hybrid average operator, and Pythagorean fuzzy power hybrid geometric operator. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the Pythagorean fuzzy multiple attribute decision-making problems. Finally, a practical example is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Keywords
Decision SciencesEngineeringEnvironmental Science
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