Preservation of Superdistributivity Between Triangular Norms Under Transformations

The study of superdistributivity for triangular norms is of great significance in fuzzy logic and uncertain reasoning. By analyzing distributivity inequalities, it not only compensates for the limitations of traditional logical operations but also optimizes model construction in fields such as decision analysis and artificial intelligence. This paper investigates the preservation of superdistributivity between triangular norms under some transformations, such as functional transformations and additive generator transformations.