文件名称:ELK-1107-10_manuscript_1
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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. -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.
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. -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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ELK-1107-10_manuscript_1.pdf