Takagi-Sugeno inference

Takagi-Sugeno inference is a method used in fuzzy logic systems to make decisions or predictions. It combines fuzzy rules that describe how different factors relate to outcomes. Each rule has an "if-then" structure, where the "if" part fuzzily assesses input conditions, and the "then" part provides an equation or value for the output. The system evaluates all rules, calculates how well each applies based on current inputs, and then blends their outputs weighted by their relevance. This process results in a precise, adaptive decision or prediction that reflects complex, real-world situations with inherent uncertainties.