Defuzzification

Defuzzification is the process of producing a quantifiable result in Crisp logic, given fuzzy sets and corresponding membership degrees. It is the process that maps a fuzzy set to a crisp set. It is typically needed in fuzzy control systems. These will have a number of rules that transform a number of variables into a fuzzy result, that is, the result is described in terms of membership in fuzzy sets. For example, rules designed to decide how much pressure to apply might result in 'Decrease Pressure (15%), Maintain Pressure (34%), Increase Pressure (72%)'. Defuzzification is interpreting the membership degrees of the fuzzy sets into a specific decision or real value. Defuzzification is the process of producing a quantifiable result in Crisp logic, given fuzzy sets and corresponding membership degrees. It is the process that maps a fuzzy set to a crisp set. It is typically needed in fuzzy control systems. These will have a number of rules that transform a number of variables into a fuzzy result, that is, the result is described in terms of membership in fuzzy sets. For example, rules designed to decide how much pressure to apply might result in 'Decrease Pressure (15%), Maintain Pressure (34%), Increase Pressure (72%)'. Defuzzification is interpreting the membership degrees of the fuzzy sets into a specific decision or real value.