Fuzzification transforms crisp quantities into fuzzy quantities by identifying deterministic values as uncertain and represented by membership functions, such as describing a temperature of 45°C as "favorable", "hot", or "cold". Defuzzification is the inverse process, converting fuzzy results back into crisp results by mapping a possibility distribution of an inferred fuzzy control action into a nonfuzzy control action.