Fuzzy logic is a typical type of logic through which for any variable there are multiple possible truth values that can be processed. Many logical systems work by processing inputs and outputs in terms of true and false. But in the case of fuzzy logic, the degree of the truthiness of the variable is taken into consideration. The word Fuzzy itself means unclear.
Boolean logic which is mainly used in computers uses 0 as a false condition and 1 as a true condition. But in the case of Fuzzy Logic, many intermediate values between 0 and 1 are possible. The values used for fuzzy logic between 0 and 1 determine the amount of trueness of a given variable. Hence, in Fuzzy Logic, values such as 0.1, 0.5, and 0.9 are possible.
Fuzzy Logic has 4 main components. They are Rule Base, Fuzzification, Interference Engine, and Defuzzifier.
Let us have a look into all these 4 components.
Rule base as the name suggests contains the rules. The basics of this rule base are IF-THEN.
The conditions are taken into consideration and the rule of IF is applied. If the condition meets the requirements of the given logical statement, then the rule is applied.
In fuzzification, the inputs from various input devices like sensors are converted into fuzzy sets. The inputs from the input devices are also termed crisp inputs.
The interference engine is the main brain of fuzzy logic. The interference engine decides what to do or what output to produce for a given fuzzy set/crisp input.
Here, Rule Base is used by the system to determine the output. The output of the interference engine is also in terms of fuzzy sets/crisp.
The fuzzy sets given by the interference engine as output is an inputs for the defuzzifier.
The defuzzifier produces the output of the Fuzzy Logic System. Here also, the rule base is used as a reference to produce the outputs.
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