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2. Logika fuzzy sangat fleksibel. 3. Logika fuzzy memiliki toleransi terhadap data-data yang tidak tepat. 4. Logika fuzzy mampu memodelkan fungsi-fungsi nonlinear yang sangat kompleks. 5. Logika fuzzy dapat membangun dan mengaplikasikan pengalaman- pengalaman para pakar secara langsung tanpa harus melalui proses …

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PPT

Pengantar Logika Fuzzy. Bahan Kuliah IF4058 Topik Khusus IF. Oleh : Rinaldi Munir. Teknik Informatika – STEI ITB. Buku referensi : George J Klir and Bo Yuan, Fuzzy Sets and Fuzzy Logic, Theory and Application, Prentice Hall, 1995. Slideshow 6320524 by stacy-trujillo

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Erwien Tjipta Wijaya, ST.,M. Kom PENDAHULUAN Logika Fuzzy pertama kali dikenalkan oleh Prof. Lotfi. A. Zadeh tahun 1965 Dasar Logika Fuzzy adalah teori himpunan fuzzy. Teori himpunan fuzzy adalah peranan derajat keanggotaan sebagai penentu keberadaan elemen dalam suatu himpunan. Nilai keanggotaan / Derajat keanggotaan / Membership …

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LOGIKA FUZZY

LOGIKA FUZZY ... GAJITINGGI[2juta]) = min (0,6 ; 0,8) = 0,6 NOT (Complement) Komplemen dari variabel fuzzy dengan derajat keanggotaan=x adalah (1-x). Komplemen ( _c): komplemen dari himpunan fuzzy terdisi dari semua komplemen elemen. Contoh Ac = {1 – 1.0, 1 – 0.2, 1 – 0.75} = {0.0, 0.8, 0.25} Misal nilai ...

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Bab 7-logika-fuzzy - Download as a PDF or view online for free. Bab 7-logika-fuzzy - Download as a PDF or view online for free ... [27], µGAJITINGGI[2x106 ) = min(0,6; 0,8) = 0,6 7.6.2 Operator OR Operator ini berhubungan dengan operasi union pada himpunan. α– predikat sebagai hasil operasi dengan operator OR diperoleh dengan …

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LOGIKA FUZZY. 7.1 PENDAHULUAN Orang ... (0,6; 0,8) = 0,6. 7.6.2 Operator OR Operator ini berhubungan dengan operasi union pada himpunan. ... (Kg) Gambar 7.29 Implikasi monoton: TINGGI ke BERAT. 7.8 FUNGSI IMPLIKASI Tiap-tiap aturan (proposisi) pada basis pengetahuan fuzzy akan berhubungan dengan suatu relasi fuzzy.

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LOGIKA FUZZY. 7.1 PENDAHULUAN Orang ... (0,6; 0,8) = 0,6. 7.6.2 Operator OR Operator ini berhubungan dengan operasi union pada himpunan. ... (Kg) Gambar 7.29 Implikasi monoton: TINGGI ke BERAT. 7.8 FUNGSI IMPLIKASI Tiap-tiap aturan (proposisi) pada basis pengetahuan fuzzy akan berhubungan dengan suatu relasi fuzzy.

PPT

Mamdani fuzzy inference Fuzzifikasi: menentukan derajat keanggotaan input x1 dan y1 pada himpunan fuzzy. Model Fuzzy Mamdani Inferensi: apikasikanfuzzified inputs, (x=A1) = 0.5, (x=A2) = 0.2, (y=B1) = 0.1 and (y=B2) = 0.7, keantesedendariaturan fuzzy Untuk aturan fuzzy dengan anteseden lebih dari 1, operator fuzzy (AND atau OR) …

Logika Fuzzy | PDF

Handout mata kuliah teknik kendali. LOGIKA FUZZY. LATAR BELAKANG. Munculnya logika fuzzy dilatar belakangi oleh adanya kesenjangan antara hukum-hukum matematika dengan permasalahan sesungguhnya dikehidupan nyata (realita).Terkait dengan hal tersebut kita ingat kata-kata Albert Einstein : "So far as the laws of mathematics refer to …

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Fuzzy logic (Logika Fuzzy) - Download as a PDF or view online for free. Fuzzy logic (Logika Fuzzy) - Download as a PDF or view online for free ... ( [y]) NIP Nama Masa Kerja BARU LAMA 01 Lia 6 0,9 0 02 Iwan 17 0 0,467 03 Sari 14 0,1 0,267 04 Andi 4 1 0 05 Budi 12 0,3 0,133 06 Amir 13 0,2 0,200 07 Rian 5 1 0 08 Kiki 1 1 0 09 Alda 3 1 0 10 …