## What is the fuzzy logic model?

The fuzzy logic model (Zadeh, 1965) is a logical mathematical procedure based on the ‘IF-THEN’ rule system, which allows the human thought process to be reproduced in a mathematical form.

### What are the models of fuzzy approximate reasoning?

In this mode of approximate reasoning, the antecedents and consequents have fuzzy linguistic variables; the input-output relationship of a system is expressed as a collection of fuzzy IF-THEN rules. This reasoning is mainly used in control system analysis.

What is fuzzy logic and fuzzy set theory explain with example?

Advertisements. Fuzzy sets can be considered as an extension and gross oversimplification of classical sets. It can be best understood in the context of set membership. Basically it allows partial membership which means that it contain elements that have varying degrees of membership in the set.

What are the steps of fuzzy logic machine?

Development

• Step 1 − Define linguistic variables and terms. Linguistic variables are input and output variables in the form of simple words or sentences.
• Step 2 − Construct membership functions for them.
• Step3 − Construct knowledge base rules.
• Step 4 − Obtain fuzzy value.
• Step 5 − Perform defuzzification.

## What are the characteristic of fuzzy logic?

Characteristics of Fuzzy Logic Flexible and easy to implement machine learning technique. Helps you to mimic the logic of human thought. Logic may have two values which represent two possible solutions. Highly suitable method for uncertain or approximate reasoning.

### What is inference in fuzzy logic?

FUZZY INFERENCE SYSTEM In fuzzy logic, the truth of any statement becomes a matter of a degree. Fuzzy inference is the process of formulating the mapping from a given input to an output using fuzzy logic. The mapping then provides a basis from which decisions can be made or patterns discerned.

What are the different methods of defuzzification process?

Defuzzification methods include: [1] max membership principle. [2] centroid method. [3] weighted average method. [4] mean max membership.

What are the properties of fuzzy logic?

The concepts of inconsistency, validity, prime implicant and prime implicate are extended to fuzzy logic and various properties of these notions in the context of fuzzy logic are established. It is proved that a formula is valid (inconsistent) in fuzzy logic iff it is valid (inconsistent) in two-valued logic.