Mamdani Models

Mamdani models are a type of fuzzy logic system used to make decisions or solve problems that involve uncertainty or imprecise information. They work by translating real-world inputs into fuzzy sets—categories with degrees of membership—then applying rules to process these inputs. The model combines the rules' outputs using fuzzy operations and finally converts them back into specific, actionable outputs. This approach allows for flexible, human-like reasoning, making it useful in areas like control systems, decision-making, and artificial intelligence where clear-cut yes/no answers are insufficient.