Sugeno Fuzzy Inference System

A Sugeno Fuzzy Inference System is a method used to make decisions or predictions based on complex, imprecise information. It works by combining multiple rules that relate input factors to an output, where each rule assigns a weighted value based on the inputs' degree of belonging to certain categories. The system then calculates a final result by blending these rules' outputs, often using mathematical functions. This approach allows for flexible, smooth decision-making that can handle uncertainty and variability in real-world data, making it useful in areas like control systems, forecasting, and pattern recognition.