Defuzzification

Defuzzification is the process of converting fuzzy, imprecise data into a clear, specific value. In fuzzy logic systems, information is often represented with ranges or degrees of truth, rather than exact numbers. To make practical decisions or actions, this fuzzy information needs to be translated into a single, precise value. Think of it as taking a range of possible outcomes and choosing the most appropriate or representative one. This step allows fuzzy logic systems to produce usable outputs for real-world applications, such as adjusting the temperature or controlling a robot.