Mamdani build

The Mamdani model is a method used in fuzzy logic systems to make decisions or solve problems. It processes input data by applying fuzzy rules, which describe how different conditions relate to outcomes using approximate, rather than exact, reasoning. The system combines these rules to generate a fuzzy output, which is then converted into a clear, actionable result through a process called defuzzification. Essentially, Mamdani's approach allows computers to mimic human-like reasoning by handling uncertain or imprecise information effectively, making it useful for control systems like climate regulation or decision analysis.