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Picture inference system: a new fuzzy inference system on picture fuzzy set
LH Son, P Van Viet, P Van Hai - Applied Intelligence, 2017 - Springer
In this paper, we propose a novel fuzzy inference system on picture fuzzy set called picture
inference system (PIS) to enhance inference performance of the traditional fuzzy inference …
inference system (PIS) to enhance inference performance of the traditional fuzzy inference …
Adaptive fuzzy sliding mode control of magnetic levitation system based on Interval Type-2 Fuzzy Neural Network Identification with an Extended Kalman–Bucy filter
The electromagnet levitation control system (EMS) is the core component of the magnetic
levitation train. However, its nature is characterized by an inherent instability and strongly …
levitation train. However, its nature is characterized by an inherent instability and strongly …
Predicting Escherichia coli loads in cascading dams with machine learning: An integration of hydrometeorology, animal density and grazing pattern
Accurate prediction of Escherichia coli contamination in surface waters is challenging due to
considerable uncertainty in the physical, chemical and biological variables that control E …
considerable uncertainty in the physical, chemical and biological variables that control E …
Knowledge‐guided machine learning for improving daily soil temperature prediction across the United States
Data‐driven models used for predicting soil temperature usually have increasing errors with
increasing depth. By exploring the integration of knowledge‐based and machine learning …
increasing depth. By exploring the integration of knowledge‐based and machine learning …
[PDF][PDF] The role of dataset in training ANFIS system for course advisor
V Vaidhehi - International Journal of Innovative Research in …, 2014 - academia.edu
Adaptive Network based Fuzzy Inference System (ANFIS) is used in the field of decision
making to help the students to choose the best course according to his/her requirements …
making to help the students to choose the best course according to his/her requirements …
Dental diagnosis from X-ray images using fuzzy rule-based systems
TM Tuan, NT Duc, P Van Hai - International Journal of Fuzzy …, 2017 - igi-global.com
In practical dentistry, dentists use their experience to examine dental X-ray images and to
derive symptoms from patients for concluding possible diseases. This method is based …
derive symptoms from patients for concluding possible diseases. This method is based …
Metode Fuzzy Inference System untuk Penilaian Kinerja Pegawai Perpustakaan dan Pustakawan
Penilaian kinerja pegawai merupakan aspek penting dalam manajemen sumber daya
manusia yang efektif. Hal ini dikarenakan melalui penilaian kinerja pegawai, sebuah …
manusia yang efektif. Hal ini dikarenakan melalui penilaian kinerja pegawai, sebuah …
Asthma diagnosis and level of control using decision tree and fuzzy system
A Tyagi, P Singh - International Journal of Biomedical …, 2014 - inderscienceonline.com
Asthma is a chronic lung disease caused due to shorten airway path of the patient.
Development of a symptom-based decision support system will help in effective diagnosis …
Development of a symptom-based decision support system will help in effective diagnosis …
Improving the accuracy of fuzzy decision tree by direct back propagation with adaptive learning rate and momentum factor for user localization
Most prevailing availability of wireless networks has elevated an interest in develo** a
smart indoor environment by utilizing the hand held devices of the users. The user …
smart indoor environment by utilizing the hand held devices of the users. The user …
Analisis tingkat akurasi metode neuro fuzzy dalam prediksi data IPM di NTB
A Muhajirah, E Safitri, T Mardiana… - JTAM (Jurnal Teori …, 2019 - journal.ummat.ac.id
Penelitian ini dilakukan untuk menganalisis proses forecasting dalam menentukan tipe
terbaik yang digunakan pada sistem peramalan (forecast). Pada penelitian ini data yang …
terbaik yang digunakan pada sistem peramalan (forecast). Pada penelitian ini data yang …