What is fuzzy logic answer?
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What is fuzzy logic answer?
(i)Fuzzy logic applies the concept of ‘certain degree’ which is similar to the way human beings think. Instead of just being either true or false,fuzzy logic can be true partially and also false partially at the same time. This is similar to the human mind.
What are the main steps in the fuzzy inference process?
The fuzzy inference process has the following steps.
- Fuzzification of the input variables.
- Application of the fuzzy operator (AND or OR) in the antecedent.
- Implication from the antecedent to the consequent.
- Aggregation of the consequents across the rules.
- Defuzzification.
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.
What is Type 1 and Type 2 fuzzy logic?
All fuzzy sets are characterized by MFs. A type-1 fuzzy set is characterized by a two-dimensional MF, whereas a type-2 fuzzy set is characterized by a three-dimensional MF. As an example, suppose that the variable of interest is eye contact, which we denote as x.
What are the main operations of fuzzy logic?
As in classical logic, in fuzzy logic there are three basic operations on fuzzy sets: union, intersection and complement. t-norms and t-conorms are binary operators that generalize intersection and union operations, respectively.
What is true about fuzzy logic?
Explanation: With fuzzy logic set membership is defined by certain value. Hence it could have many values to be in the set. 2. Traditional set theory is also known as Crisp Set theory.
What are the basic components of a fuzzy logic system?
fuzzy controller comprises of four main components, fuzzification interface, knowledge base, inference mechanism and defuzzification interface.
What is rule base in fuzzy logic?
A rule base is the set of rules for a fuzzy system. To create a rule, you must specify the antecedents, or IF portions, and consequents, or THEN portions, of the rule.
