The fuzzy logic control
contains three units which are fuzzification, inference mechanism and
defuzzification. This fuzzy logic controller (FLC) uses the Mamdani method
which is widely accepted for capturing expert knowledge in fuzzy rules. It
allows user to describe the expertise in a human-like manner unlike the Sugeno
method which is computationally effective and works with optimisation and
adaptive techniques.
The fuzzification is to converts the crisp inputs into the linguistic variables by means of fuzzy subsets. Fuzzy inference can be defined as a process of mapping from the inputs to an output which using the fuzzy sets theory.The defuzzification converts the inference
mechanism into the actual output which is a crisp crisp number for the process.
Mamdani method is been implemented in this study which can be developed by the
centroid method.
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