Mamdani Model

The Mamdani model is a way of designing fuzzy logic controllers that mimic human decision-making. It uses fuzzy rules and membership functions to interpret input data (like temperature or speed), then applies logical rules to produce an output. Think of it as a system that handles uncertainty and imprecision, allowing for more flexible and nuanced decisions compared to traditional binary logic. The process involves fuzzifying inputs, applying rules, aggregating results, and then defuzzifying to generate a clear action or output. It's widely used in control systems where human-like reasoning is beneficial.