Enhancing decision-making with picture fuzzy Einstein interactive operator: An application in multiple attribute group decision-making
Recent advancements in Picture Fuzzy Numbers (PFNs) have significantly contributed to the field of fuzzy systems. However, the conventional operational rules (ORs) for PFNs have limitations in practical decision-making scenarios. In particular, traditional picture fuzzy aggregation methods, such as the picture fuzzy Einstein aggregation operators, while useful in uncertain contexts, do not adequately account for interactions among the degrees of positive, neutral, and negative memberships. This oversight can lead to unsatisfactory outcomes in real-world decision-maki