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All Journal Jurnal Teliska PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Students´ Journal of Economic and Management Jurnal Informatika dan Teknik Elektro Terapan Annual Research Seminar PROtek : Jurnal Ilmiah Teknik Elektro Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Agribisnis dan Peternakan JURNAL SURYA ENERGY Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science bit-Tech Respati MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering JiTEKH (Jurnal Ilmiah Teknologi Harapan) J-SAKTI (Jurnal Sains Komputer dan Informatika) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Standardisasi
Sarjana Sarjana
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Veterinary Other

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Journal : Annual Research Seminar

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Perbandingan Type-1 Fuzzy Logic System (T1FLS) dan Interval Type-2 Fuzzy Logic System (IT2FLS) pada Mobile Robot Jefri Al-Kausar; Ade Silvia Handayani; Sarjana Sarjana
Annual Research Seminar (ARS) Vol 4, No 1 (2018): ARS 2018
Publisher : Annual Research Seminar (ARS)

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Abstract

Pada Paper ini menyajikan perbedaan antara Type-1 Fuzzy Logic System (T1FLS) dan Interval Type-2 Fuzzy Logic System (IT2FLS). T1FLS memiliki tiga proses utama, yaitu fuzzifikasi, inferensi / Rule Base, dan defuzzifikasi. Sedangkan, pada IT2FLS memiliki lima proses utama, yaitu fuzzifikasi, inferensi / Rule Base, tipe-reduksi, dan defuzzifikasi. Perbedaan yang terlihat jelas dapat dilihat pada tipe-reduksi, yang membuatnya lebih kompleks daripada T1FLS. Setiap keuntungan dan kekurangan juga mempengaruhi terhadap efisiensi dan kemampuan dari Fuzzy Logic Systems sendiri.
Co-Authors Abdul Choliq Ade Silvia Handayani Adewasti, Adewasti Agatha, Adelia Agus Hermawan Al-Kausar, Jefri Ambarsari, Indri Ambarsari, lndrie Aryanti Aryanti Br Ginting, Nurul Devani Diraputra, M Yoga Azto Emilia Hesti Endri, Jon ermawan, Agus H Fatin, Muhammad Hanif Forita Dyah Arianti, Forita Dyah Handayani, Alfina Hanung Adi Nugroho Indrie ambarsari Joko Pramono JUNAIDI Junaidi Junaidi Komalawati, Komalawati Lindawati Lindawati Liza, Risko Maharani, Luftya Meinarti Norma Muhammad Arifin Nasron Nasron Nurhadiva, Siti Salwa Pertiwi, Miranti D. Qanytah Qanytah Rabiah, Nur Nabila Ritonga, Din Aswan Amran Saputra, Muhammad Renaldy Seno Basuki Setiawan, Muhammad Imam Sholihin Sholihin Sopian Soim, Sopian suzan zefi Wahyuni, Devi Widowati, Eny Hary Yulfitra, Yulfitra Zarkasi, Muhammad Irvan