Novel Mittag-Leffler-Based Aggregation Operators for Complex Fuzzy Sets, with an Illustrative Application to Generative AI Diagnostic-System Evaluation
Aggregation operators are central to multi-criteria decision-making under complex fuzzy information, where the additional phase dimension of complex fuzzy sets captures periodic or cyclical uncertainty beyond the reach of classical fuzzy sets. Existing Archimedean families used in the complex-fuzzy aggregation-operator...