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This document provides an overview of fuzzy logic and fuzzy sets. It defines fuzzy sets and membership functions, explaining that fuzzy sets allow for degrees of membership rather than binary membership. Examples of fuzzy linguistic variables for car speed and restaurant service quality are given. Common membership functions shapes are illustrated. The document also discusses fuzzy set operations like intersection and union. Finally, it introduces fuzzy rule-based systems using IF-THEN rules to map between

Author

firman

Language

EN