Results 21 to 30 of about 9,565,619 (290)
Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
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Guest Editorial : Evolving Fuzzy Systems : preface to the special section. [PDF]
, 2008 It is a well-recognized fact that the theory of fuzzy sets and systems, for the last four decades after the seminal paper by Professor Zadeh [1], has demonstrated its remarkable ability to go beyond conventional information representation. It resulted in
Angelov, Plamen +5 more
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Mamdani Fuzzy Expert System for Online Learning to Diagnose Infectious Diseases
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 E-learning and expert systems can be implemented for learning in the health sector. Through the e-learning system, prospective health workers can analyze problems by exploring the material in the system. However, material learning alone is less effective,
Istiadi Istiadi +4 more
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Fuzzy Reasoning Numerical Spiking Neural P Systems for Induction Motor Fault Diagnosis
Entropy, 2022 The fuzzy reasoning numerical spiking neural P systems (FRNSN P systems) are proposed by introducing the interval-valued triangular fuzzy numbers into the numerical spiking neural P systems (NSN P systems).
Xiu Yin +4 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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Scientific Journal of Astana IT University, 2023 As organizations increasingly rely on digital technology to operate, protecting their information and data has become a critical concern. Information security systems are designed to safeguard digital assets against unauthorized access, use, disclosure,
Aasso Ziro +2 more
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IEEE Access, 2019 Fuzzy system, as the main method of approximate reasoning, has been widely used to solve practical problems. The existing results on fuzzy systems were based on fuzzy sets, fuzzy if-then rule, and fuzzy inference.
Jiansheng Li, Zengtai Gong
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Axioms, 2022 An explainable artificial intelligence (XAI) agent is an autonomous agent that uses a fundamental XAI model at its core to perceive its environment and suggests actions to be performed. One of the significant challenges for these XAI agents is performing
Sunny Mishra +2 more
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A New Fuzzy Inference Technique for Singleton Type-2 Fuzzy Logic Systems
International Journal of Advanced Robotic Systems, 2012 A new fuzzy inference technique is presented to replace the conventional fuzzy inference process of type-2 fuzzy logic systems. Because conventional type-2 fuzzy logic systems demand a large amount of memory, they cannot be used by most embedded systems,
Hwan-Joo Kwak +2 more
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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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