Fuzzy model identification

Fuzzy model identification is a process used to create mathematical models that can describe complex or uncertain systems by using fuzzy logic. Instead of precise, fixed rules, it incorporates flexible, "fuzzy" rules that handle ambiguity and imprecision, similar to human reasoning. The process involves analyzing data from the system, then adjusting the fuzzy rules and parameters so the model accurately predicts or represents the system's behavior. This allows for better modeling of real-world situations where things aren’t always black-and-white, helping in control, prediction, and decision-making tasks with uncertain or imprecise information.