What are the components of fuzzy logic controller?

fuzzy controller comprises of four main components, fuzzification interface, knowledge base, inference mechanism and defuzzification interface.

What is the fuzzy logic controller?

Fuzzy logic controllers usually outperform other controllers in complex, nonlinear, or undefined systems for which a good practical knowledge exists. Fuzzy logic controllers are based on fuzzy sets, that is, classes of objects in which the transition from membership to nonmembership is smooth rather than abrupt.

What are fuzzy system components?

The typical structure of a fuzzy system (Fig. 2.1) consists of four functional blocks: the fuzzifier, the fuzzy inference engine, the knowledge base, and the defuzzifier. Both linguistic values (defined by fuzzy sets) and crisp (numerical) data can be used as inputs for a fuzzy system.

What do you mean by fuzzification and defuzzification?

Definition. Fuzzification is the process of transforming a crisp set to a fuzzy set or a fuzzy set to fuzzier set. Defuzzification is the process of reducing a fuzzy set into a crisp set or converting a fuzzy member into a crisp member.

How many main parts are there in fuzzy logic system architecture?

How many main parts are there in Fuzzy Logic Systems Architecture? Explanation: It has four main parts.

What is the purpose of defuzzification?

Defuzzification is the process of obtaining a single number from the output of the aggregated fuzzy set. It is used to transfer fuzzy inference results into a crisp output. In other words, defuzzification is realized by a decision-making algorithm that selects the best crisp value based on a fuzzy set.

Why is defuzzification required?

Defuzzification converts the fuzzy output of fuzzy inference engine into crisp value, so that it can be fed to the controller. The fuzzy results generated can not be used in an application, where decision has to be taken only on crisp values. Controller can only understand the crisp output.