Title:
ELK-1107-10_manuscript_1
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Description: Type-1 fuzzy sets theory was proposed to handle uncertainty in control systems. But some
cases showed some liabilities of Type-1 fuzzy sets when facing with unpredictable
disturbance and uncertainties. Therefore Type-2 fuzzy sets was introduced and extended
while providing more degrees of freedom in designing criteria. The most important
specification of Type-2 fuzzy sets is the interval between a superior membership function
and an inferior membership function which is called footprint of uncertainty. This paper
presents a Bacterial Foraging Optimization approach for optimizing the parametrized
membership function. The above criterion is applied to an Automatic Voltage Regulator
system and results are presented and compared with previous method.
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