sugeno-style fuzzy inference and anfis...tugas2 buatlah aproksimasifuzzy darifungsiy = f(x) = -2x...
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![Page 1: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/1.jpg)
Sugeno-style Fuzzy Inference andANFIS
Teny Handhayani
![Page 2: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/2.jpg)
Kategori Berat Badan
![Page 3: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/3.jpg)
Kategori Umur
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Latihan
Data
Fungsi
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Mamdani
![Page 6: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/6.jpg)
Mamdani
![Page 7: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/7.jpg)
Mamdani
![Page 8: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/8.jpg)
Mamdani
![Page 9: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/9.jpg)
Mamdani
![Page 10: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/10.jpg)
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
![Page 11: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/11.jpg)
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
![Page 12: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/12.jpg)
Sugeno
![Page 13: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/13.jpg)
Sugeno
![Page 14: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/14.jpg)
Sugeno
![Page 15: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/15.jpg)
Sugeno
![Page 16: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/16.jpg)
Sugeno
![Page 17: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/17.jpg)
ANFIS (Adaptive Neuro-Fuzzy Inference System)
![Page 18: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/18.jpg)
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
![Page 19: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/19.jpg)
ANFIS Method
![Page 20: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/20.jpg)
set the number and type of input membership functions:
FIS-matrix fismat is generated by command genfish1:
![Page 21: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/21.jpg)
ANFIS-training by 40 rounds
Check the training result:
![Page 22: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/22.jpg)
Draw the error curves:
![Page 23: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/23.jpg)
![Page 24: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/24.jpg)
Step size during the training:
![Page 25: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/25.jpg)
Membership functions after training:
![Page 26: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/26.jpg)
compare fuzzy system output to the training and checking data:
![Page 27: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/27.jpg)
Tugas 1
Buatlah aturan Fuzzy (Fuzzy Mamdani dan Fuzzy Sugeno) untuk menghitung fungsi y = x3 !
![Page 28: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/28.jpg)
Tugas 2
Buatlah aproksimasi fuzzy dari fungsi y = f(x) = -2x – x2
Gunakan metode ANFIS
![Page 29: Sugeno-style Fuzzy Inference and ANFIS...Tugas2 Buatlah aproksimasifuzzy darifungsiy = f(x) = -2x –x2 GunakanmetodeANFIS 0 30 45 60 VH 75 Fig. 4.12. Membership function of weight](https://reader033.vdocuments.mx/reader033/viewer/2022042709/5f4541947ed1e62f373f2865/html5/thumbnails/29.jpg)