encoding rules if taste is worse and quantity is sleak then tip is little if taste is average and...
TRANSCRIPT
Encoding Rules
IF Taste is Worse AND Quantity is Sleak
THEN Tip is Little
IF Taste is Average AND Quantity is Abundant
THEN Tip is Average
IF Taste is Delicious AND Quantity is Medium
THEN Tip is High
IF Taste is Delicious AND Quantity is Abundant
THEN Tip is High
IFivar1
isMF(x)
ivarnin isMF(x)
THENovar1
isMF(x)
ivarnout isMF(x)
1
IFivar1
isMF(x)
ivarnin isMF(x)
THENovar1
isMF(x)
ivarnout isMF(x)
2
IFivar1
isMF(x)
ivarnin isMF(x)
THENovar1
isMF(x)
ivarnout isMF(x)
3
IFivar1
isMF(x)
ivarnin isMF(x)
THENovar1
isMF(x)
ivarnout isMF(x)
4
IFivar1
isMF(x)
ivarnin isMF(x)
THENovar1
isMF(x)
ivarnout isMF(x)
k
Encoding – Membership functions
mean1
2
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4
numberMFs
Genetic MFEncoding
Inference MFEncoding
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mean
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1.0
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-3R -2R-1R 1L 2L 3L0
Objective Function (OF)
• Objective function is the MSE (mean squared error) on supervisory data of the given Fuzzy System individual
Genetic Operators
• Applied on genetic MF encoding of membership functions
• Types– Crossover– Mutation– Set similar– Set zero– Set unity
Neuro Fuzzy
Input 1
Input 2
InputLayer
HiddenLayer
OutputLayer
Output 1
Rule Implication
Defuzzification
Rule
W1,1
MFComposition
W1,2
W1,3