Pythagorean fuzzy power aggregation operators in multiple attribute decision making

By Guiwu Wei, Mao Lu. International Journal of Intelligent Systems, 2018

347 citations recorded by the source corpus.

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.

Subfields: Control and Systems Engineering, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/53ef0b7fe471055ab28c01f088eee356960b1bf6

How researchers see this paper

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In Control and Systems Engineering

1. Mogtaba Ahmed Yousif
2. Rana Muhammad Zulqarnain
3. Waseem Asghar Khan
4. X. Xin
5. Imran Siddique

In Management Science and Operations Research

1. Mogtaba Ahmed Yousif
2. Rana Muhammad Zulqarnain
3. Waseem Asghar Khan
4. X. Xin
5. Imran Siddique

Citations in the corpus

• TOPSIS Method Based on Correlation Coefficient under Pythagorean Fuzzy Soft Environment and Its Application towards Green Supply Chain Management (2021, background): “Wei and Lu [32] presented several Pythagorean fuzzy power AOs and discussed their properties.”