The coefficients of this sums depend on the membership functions. This paper proposes a relaxation of Tanaka's stability condition: unlike related works, the equations to be solved are not Liapunov equations for each rule matrix, but a convex combination of them. The stability analysis of the TS model is performed using a quadratic Liapunov candidate function. The fuzzy models are validated against experimental results in the case of the ABS and the first principles simulation results in the case of the vehicle with the CVT.įull Text Available This paper outlines a methodology to study the stability of Takagi-Sugeno's (TS fuzzy models. The evolving Takagi-Sugeno-Kang fuzzy models are obtained as discrete-time fuzzy models by incremental online identification algorithms. The two dynamic systems models are nonlinear dynamics of the longitudinal slip in the Anti-lock Braking Systems (ABS and the vehicle speed in vehicles with the Continuously Variable Transmission (CVT systems. Hasil dari penelitian ini didapatkan tingkat keparahan untuk penyakit Pulpitis Reversibel 38,53%, Pulpitis Irreversibel 59,64%, Periodontitis 69,62%, Periodontitis Akut 51,43%, Gingivitis 45,5%, Perikoronitis Akut 53,93%, Perikoronitis Sub Akut 52,14%, Perikoronitis Kronis 46,05%, Karies Denties Tahap Awal 37,61%, KariesĪUTOMOTIVE APPLICATIONS OF EVOLVING TAKAGI-SUGENO-KANG FUZZY MODELSįull Text Available This paper presents theoretical and application results concerning the development of evolving Takagi-Sugeno-Kang fuzzy models for two dynamic systems, which will be viewed as controlled processes, in the field of automotive applications. Penelitian ini bertujuan untuk mengetahui apakah metode Fuzzy Inference System Takagi-Sugeno-Kang dapat diterapkan pada sistem pakar dalam memberikan diagnosa penyakit gigi. Metode yang diterapkan dalam perhitungan tingkat keparahan ini yaitu Metode Fuzzy Inference System Takagi-Sugeno-Kang (Metode Sugeno. Pada penelitian ini dilakukan penambahan tingkat keparahan penyakit. Key Word: Teeth, Expert System, Expert System Teeth, Fuzzy Logic, Fuzzy Inference System, Takagi-Sugeno-Kang, Fuzzy Sugeno Pada umumnya, istem pakar hanya menampilkan jenis penyakit setelah user memilih gejala-gejala. A conclusion that was obtained from the study that is a method of Fuzzy Inference System Takagi-Sugeno-Kang could be applied to expert system of the teeth. The result of this research or severity for diseases of pulpitis reversible 38,53%, pulpitis irreversible 59,64%, periodontitis 69,62%, acute periodontitis 51,43%, gingivitis 45.5%, acute pericoronitis 53,93%, sub acute pericoronitis 52,14%, chronic pericoronitis 46,05%, caries dentist an early stage 37,61%, caries dentist toward an advanced stage 43,89%, caries dentist an advanced stage 51,76%, gangrene pulpa 42,5%, polyps pulpa 56,43%, and periostitis 58,55%. This study attempts to know whether method Fuzzy Inference System Takagi-Sugeno-Kang can work for expert system in giving the diagnosis diseases of the teeth. The method applied in the calculation of the severity is a method of Fuzzy Inference System Takagi-Sugeno-Kang (Method of Sugeno. In the study is done the addition of disease severity level. PENERAPAN FUZZY INFERENCE SYSTEM TAKAGI-SUGENO-KANG PADA SISTEM PAKAR DIAGNOSA PENYAKIT GIGIįull Text Available Generally, expert system only show types of disease after user choose symptoms. Kata kunci : Logika fuzzy, Takagi Sugeno, Prediksi pembelian, Mie instan Hasil yang didapat, metode fuzzy inferensi Takagi-Sugeno dapat memprediksi pembelian mie instan dengan nilai error 35,55%. Proses penentuan hasil prediksi digunakan penegasan (defuzzy dengan menggunakan konsep rata-rata tertimbang (weighted average. Pada penelitian ini menggunakan Sistem Inferensi Fuzzy Takagi Sugeno, himpunan fuzzy yang digunakan menggunakan 3 fungsi keanggotaan, yaitu turun, naik, dan segitiga. Untuk itu, digunakan logika fuzzy untuk prediksi pembeliannya. Tetapi jumlah mie instan yang terjual ke konsumen setiap harinya tidak konstan, sehingga sering terjadi ketidaksesuaian minimarket dalam membeli mie. Pada minimarket A, mie instan merupakan produk yang paling banyak terjual. PREDIKSI PERMINTAAN PRODUK MIE INSTAN DENGAN METODE FUZZY TAKAGI-SUGENOĭirectory of Open Access Journals (Sweden)
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