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INTRODUCTION TO FUZZY LOGIC

Fuzzy Logic is an attempt to create systems that accept information and process them the way we humans process information. The important point is that the input data is ambiguous or imprecise. An example would be rate of rainfall. The process this inforamation, your input would be very imprecise.

Components of Fuzzy Controller
Any fuzzy logic system must have a fuzzy controller. That is the the brain of a fuzzy logic system
The four components of a fuzzy controller a the Fuzzifier, the Inference Enging, the Rule Base and the Defuzzifier.

The structure of a fuzzy logic controller is shown below:

How it works

Input to the fuzzy logic controller passes through a pre-processor while the output passes through a post-processor.

Firstly, a disperse set of input data are gathered and converted to a fuzzy set using fuzzy linguistic variables, fuzzy linguistic terms and membership functions. This step is known as fuzzification.

Afterwards, using the fuzzy set obtained from the fuzzification process, an interface is made based on a set of rules(Rule Base). Finally, the resulting fuzzy output is then mapped to a cript output using membership functions. This is the defuzzificaiton step.


 
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