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Sugeno-style Fuzzy Inference andANFIS
Teny Handhayani
Kategori Berat Badan
Kategori Umur
Latihan
Data
Fungsi
Mamdani
Mamdani
Mamdani
Mamdani
Mamdani
Sugeno
The result of Sugeno reasoning is an exact number.
Rules:If x is xi then y = yi
yi= discretization points of membership functionsm= number of rules
Sugeno
Sugeno reasoning allows us to use also functions of input x, not only constants, on the right hand side. The rules would look like
If x is xi then y = fi(x)
For exampley = p1x + r1
Sugeno
Sugeno
Sugeno
Sugeno
Sugeno
ANFIS (Adaptive Neuro-Fuzzy Inference System)
ANFIS (Adaptive Neuro-Fuzzy Inference System)
ANFIS (Adaptive Neuro-Fuzzy Inference System) –method is used as a teaching method for Sugeno-type fuzzy systems.
Make fuzzy approximation of function using ANFIS method
ANFIS Method
set the number and type of input membership functions:
FIS-matrix fismat is generated by command genfish1:
ANFIS-training by 40 rounds
Check the training result:
Draw the error curves:
Step size during the training:
Membership functions after training:
compare fuzzy system output to the training and checking data:
Tugas 1
Buatlah aturan Fuzzy (Fuzzy Mamdani dan Fuzzy Sugeno) untuk menghitung fungsi y = x3 !
Tugas 2
Buatlah aproksimasi fuzzy dari fungsi y = f(x) = -2x – x2
Gunakan metode ANFIS