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Fuzzy Logic Toolbox , Membership Functions dan Fuzzy Inferencing System

Fuzzy Logic Toolbox , Membership Functions dan Fuzzy Inferencing System . Praktikum 6 Sistem Pakar Tim Asisten Sistem Pakar. Task 1 : Menambah variabel Menambah membership function Task 2 : menambah Rule Task 3 : evaluasi FIS. Pembahasan. Fungsi newfis.

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Fuzzy Logic Toolbox , Membership Functions dan Fuzzy Inferencing System

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  1. Fuzzy Logic Toolbox, Membership FunctionsdanFuzzy Inferencing System Praktikum 6 SistemPakar Tim AsistenSistemPakar

  2. Task 1 : • Menambahvariabel • Menambahmembership function • Task 2 : menambah Rule • Task 3 : evaluasi FIS Pembahasan

  3. Fungsinewfis • Fungsinewfisuntukmembuat FIS baru. • FIS=NEWFIS(FISNAME) • FIS=NEWFIS(FISNAME, FISTYPE) • FIS=NEWFIS(FISNAME, FISTYPE, andMethod, orMethod, impMethod, aggMethod, defuzzMethod) • default FIS type : Mamdani Membuat FIS

  4. Coba a=newfis('newsys'); getfis(a); Membuat FIS

  5. Output Name = newsys Type = mamdani NumInputs = 0 InLabels = NumOutputs = 0 OutLabels = NumRules 0 AndMethod min OrMethod max ImpMethod min AggMethod max DefuzzMethodcentroid Membuat FIS

  6. Fungsiaddvar • Fungsiaddvaruntukmenambahvariabel fuzzy barukesuatusistem FIS yang telahada a = addvar (a,varType,varName,varBounds) • Deskripsi: • a = nama FIS • varType = tipevariabel ‘input’ atau ‘output’ • varName = namavariabel • varBounds = rentangnilaivariabel MenambahVariabel

  7. Contoh • Misalkankitainginmembuatvariabel fuzzy untuk input tinggibadandenganrentangnilai 100 – 180. a = addvar(a, ‘input’, ‘tinggi’, [100-180]) getfis(a, ‘input’, 1) • Coba: help getfis. Fungsigetfisadalahuntuk…. MenambahVariabel

  8. Task 1 : • Menambahvariabel • Menambahmembership function • Task 2 : menambah Rule • Task 3 : evaluasi FIS Pembahasan

  9. Fungsiaddmf • Fungsiaddmfuntukmenambahmembership functionkesuatuvariabel yang telahada. a = addmf(a, varType, varIndex, mfName, mfType, mfParams) • Deskripsi: • a = nama FIS • varType = tipevariabel ‘input’ atau ‘output’ • varIndex = varibelkeberapa yang mauditambahin mf-nya • mfName = nama/linguistiknya. • mfType = jenismembership function, contoh: trapesium (trapmf), segitiga (trimf), ataugaussian (gaussmf) MenambahMembership Function

  10. Contoh a=newfis('tipper'); a=addvar(a,'input','service',[0 10]); a=addmf(a,'input',1,'poor','gaussmf',[1.5 0]); a=addmf(a,'input',1,'good','gaussmf',[1.5 5]); a=addmf(a,'input',1,'excellent','gaussmf',[1.5 10]); plotmf(a,'input',1) MenambahMembership Function

  11. myfis1.m % #1 membuatSistem FIS barudisimpandalamvariabel a a = newfis('myfis1'); % #2 menambahvariabel input fuzzy "usia" denganrentangnilaiusia 0-70 a = addvar(a, 'input', 'usia', [0 70]); Let’s Create a FIS…!

  12. myfis1.m % #3 menambah membership function % ada 3 label yang digunakan : muda, pertengahan, lansia % membership function menggunakantipe Gaussian a = addmf(a, 'input', 1, 'muda', 'gaussmf', [10 0]); a = addmf(a, 'input', 1, 'pertengahan', 'gaussmf', [10 35]); a = addmf(a, 'input', 1, 'lansia', 'gaussmf', [10 70]); % mem-plot membership function plotmf (a, 'input', 1) Let’s Create a FIS…!

  13. LATIHAN • Tambahkansatubuahvariabel “berat_pria” denganrentangnilai 65-120 • Nilailinguistiknya : small, medium, large. • Tipe MF segitiga (trimf). Pembahasan

  14. % #4 menambahvariabel input fuzzy "berat_pria" denganrentangnilaiusia 0-70 a = addvar(a, 'input', 'berat_pria', [65 120]); % #5 menambah membership function untukvariabel "berat_pria" % ada 3 label yang digunakan : small, medium, large % membership function menggunakantipe Triangular (Segitiga) a = addmf(a, 'input', 2, 'small', 'trimf', [65 70 80]); a = addmf(a, 'input', 2, 'medium', 'trimf', [75 85 95]); a = addmf(a, 'input', 2, 'large', 'trimf', [90 110 120]); Let’s Create a FIS…!

  15. % mem-plot membership function subplot(211), plotmf (a, 'input', 1); subplot(212), plotmf (a, 'input', 2); Subplot

  16. Task 1 : • Menambahvariabel • Menambahmembership function • Task 2 : menambah Rule • Task 3 : evaluasi FIS Pembahasan

  17. Fungsiaddrule • Fungsiaddruleuntukmenambahrule kesuatu FIS yang telahada. a = addrule(a, ruleList) • Deskripsi: • a = nama FIS • ruleList = list rule. BerisiM+N+ 2 kolomuntuksetiap rule. • M = jumlahvariabel input • N = jumlahvariabel output MenambahRule

  18. Contoh MenambahRule

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