Premium Pythagorean fuzzy power aggregation operators in multiple attribute decision makingPremium
Author(s)
Wei Guiwu,
Lu Mao
Publication year2018
Publication title
international journal of intelligent systems
Resource typeJournals
PublisherWiley-Blackwell
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.
Subject(s)artificial intelligence , biochemistry , chemistry , computer science , fuzzy logic , gene , geometry , mathematics , operator (biology) , physics , power (physics) , pythagorean theorem , quantum mechanics , repressor , transcription factor
Language(s)English
SCImago Journal Rank1.291
H-Index87
eISSN1098-111X
pISSN0884-8173
DOI10.1002/int.21946
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