Results 21 to 30 of about 17,798,065 (292)
Monotone Interval Fuzzy Inference Systems [PDF]
IEEE Transactions on Fuzzy Systems, 2019 In this paper, we introduce the notion of a monotone fuzzy partition , which is useful for constructing a monotone zero-order Takagi–Sugeno–Kang Fuzzy Inference System (ZOTSK-FIS). It is known that a monotone ZOTSK-FIS model can always be produced when a consistent, complete, and monotone fuzzy rule base is used.
Yi Wen Kerk, Kai Meng Tay, Chee Peng Lim
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Z Number Based Fuzzy Inference System for Dynamic Plant Control
Advances in Fuzzy Systems, 2016 Frequently the reliabilities of the linguistic values of the variables in the rule base are becoming important in the modeling of fuzzy systems. Taking into consideration the reliability degree of the fuzzy values of variables of the rules the design of ...
Rahib H. Abiyev
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Modeling of Fuzzy Systems Based on the Competitive Neural Network
Applied Sciences, 2023 This paper presents a method to dynamically model Type-1 fuzzy inference systems using a Competitive Neural Network. The aim is to exploit the potential of Competitive Neural Networks and fuzzy logic systems to generate an intelligent hybrid model with ...
Juan Barraza +3 more
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Extending the functional equivalence of radial basis functionnetworks and fuzzy inference systems [PDF]
, 1996 We establish the functional equivalence of a generalized class of Gaussian radial basis function (RBFs) networks and the full Takagi-Sugeno model (1983) of fuzzy inference.
Hunt, K.J., Murray-Smith, R., Haas, R.
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Identifikasi Gangguan Neurologis Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015 Abstrak Penggunaan metode Adaptive Neuro Fuzzy Inference System (ANFIS) dalam proses identifikasi salah satu gangguan neurologis pada bagian kepala yang dikenal dalam istilah kedokteran stroke ischemic dari hasil ct scan kepala dengan tujuan untuk ...
Jani Kusanti, Sri Hartati
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Genetic fuzzy system for prediction of respiratory rate of chicks subject to thermal challenges
Revista Brasileira de Engenharia Agrícola e AmbientalThe aim of this study was to estimate and compare the respiratory rate (breath min-1) of broiler chicks subjected to different heat intensities and exposure durations for the first week of life using a Fuzzy Inference System and a Genetic Fuzzy Rule ...
Patrícia F. P. Ferraz +5 more
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Advances in Mechanical Engineering, 2016 Magnetorheological dampers have become prominent semi-active control devices for vibration mitigation of structures which are subjected to severe loads.
Xiufang Lin, Shumei Chen
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Real-Time joint Landmark Recognition and Classifier Generation by an Evolving Fuzzy System. [PDF]
, 2006 A new approach to real-time joint classification and classifier design is proposed in this paper. It is based on the recently developed evolving fuzzy system (EFS) method and is applied to mobile robotics.
Angelov, Plamen +3 more
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Measurement + Control, 2019 To improve surplus torque suppression and loading performance of electric load simulators, this paper presents a loading control strategy based on the new mapping approach and fuzzy inference scheme in the fuzzy Cerebellar Model Articulation Controller ...
Bo Yang, Fuhuang Liu, Meng Zhang
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IEEE Access, 2020 In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced ...
Jinping Liu +5 more
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