Einstein Aggregation Operators for Pythagorean Fuzzy Soft Sets with Their Application in Multiattribute Group Decision-Making

The Pythagorean fuzzy soft set (PFSS) is the most proficient and manipulative leeway of (PFS), which contracts with parameterized values alternatives. It a generalized form intuitionistic (IFSS), provides healthier more accurate evaluations through decision-making (DM). main determination this research to prolong idea Einstein’s aggregation operators for PFSS. We introduce Einstein operational laws numbers (PFSNs). Based on laws, we construct two novel (AOs) such as Einstein-weighted averaging (PFSEWA) geometric (PFSEWG) operators. In addition, important possessions proposed operators, idempotency, boundedness, homogeneity, are discussed. Furthermore, validate practicability anticipated multiple attribute group (MAGDM) method developed. intend innovative AOs considering norms PFSS elect subtle business. (PFSNs) support us signify unclear data in real-world perception. numerical description planned certify efficacy usability projected DM practice. recent approach’s pragmatism, usefulness, tractability validated comparative exploration some prevalent studies.