Artificial Intelligence for Big Data

Defuzzification

Defuzzification is a process by which the actionable outcomes are generated as quantifiable values. Since computers can only understand the crisp sets, it can also be seen as a process of converting fuzzy set values based on the context into a crisp output. Defuzzification interprets the membership value based on the shape of the membership function into a real value. The defuzzified value represents the action to be taken by the intelligent machine based on the contextual inputs. There are multiple defuzzification techniques available; the one that is used for a given problem depends on the context.