Affiliations: [a] School of Mathematics, Northwest University, Xi’an, China
| [b] School of Mathematics, Thapar Institute of Engineering & Technology (Deemed University), Patiala, Punjab, India
| [c] Department of Mathematics, Faculty of Sciences AlZulfi, Majmaah University, Majmaah, Saudi Arabia
Correspondence:
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Corresponding author. Xiao Long Xin, School of Mathematics, Northwest University, Xi’an, China. Tel.: +86135 7195 2880; E-mail: [email protected].
Abstract: The Pythagorean fuzzy soft sets (PFSS) is a parametrized family and one of the appropriate extensions of the Pythagorean fuzzy sets (PFS). It’s also a generalization of intuitionistic fuzzy soft sets, used to accurately assess deficiencies, uncertainties, and anxiety in evaluation. The most important advantage of PFSS over existing sets is that the PFS family is considered a parametric tool. The PFSS can accommodate more uncertainty comparative to the intuitionistic fuzzy soft sets, this is the most important strategy to explain fuzzy information in the decision-making process. The main objective of the present research is to progress some operational laws along with their corresponding aggregation operators in a Pythagorean fuzzy soft environment. In this article, we introduce Pythagorean fuzzy soft weighted averaging (PFSWA) and Pythagorean fuzzy soft weighted geometric (PFSWG) operators and discuss their desirable characteristics. Also, develop a decision-making technique based on the proposed operators. Through the developed methodology, a technique for solving decision-making concerns is planned. Moreover, an application of the projected methods is presented for green supplier selection in green supply chain management (GSCM). A comparative analysis with the advantages, effectiveness, flexibility, and numerous existing studies demonstrates the effectiveness of this method.
