Multi-criteria Decision-Making Model Using Complex Pythagorean Fuzzy Yager Aggregation Operators

Abstract

Aggregation operators are indispensable tool to consolidate the sundry inputs into a single worthwhile output and widely used in distinct models of classical and fuzzy set theory to aggregate the data. Complex Pythagorean fuzzy model has extrapolated the existing models due to its trait to model the uncertainty of human judgment in a more precise way. In this research article, we investigate some aggregation operators based on Yager t-norm and s-norm, namely complex Pythagorean fuzzy Yager weighted averaging operator, complex Pythagorean fuzzy Yager ordered weighted averaging operator, complex Pythagorean fuzzy Yager weighted geometric operator and complex Pythagorean fuzzy Yager ordered weighted geometric operator. Further, we discuss some remarkable properties of proposed operators. Moreover, we promote the advancement of multi-criteria decision-making strategies by proposing an algorithm in CPF environment. Further, to demonstrate the significance of proposed operators in decision-making environment, we provide fully developed numerical example which involves selection of best alternative among the existing alternative. Finally, we check the effectiveness of proposed operators by validity test.