Results 11 to 20 of about 9,565,619 (290)
Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +2 more
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Identification of entrant’s abilities on the basis of Sugeno-type fuzzy inference systems
Aviation, 2022 In the conditions of effective training in aviation for dispatchers and pilots, it requires the use of infocommunication systems capable of working under conditions of fuzzy uncertainty in real time.
Svitlana Terenchuk +2 more
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Frontiers in Neurorobotics, 2022 Fuzzy inference systems have been widely applied in robotic control. Previous studies proposed various methods to tune the fuzzy rules and the parameters of the membership functions (MFs).
Xinxing Chen +5 more
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MSAFIS: an evolving fuzzy inference system [PDF]
Soft Computing, 2015 In this paper, the problem of learning in big data is considered. To solve this problem, a new algorithm is proposed as the combination of two important evolving and stable intelligent algorithms: the sequential adaptive fuzzy inference system (SAFIS), and stable gradient descent algorithm (SGD). The modified sequential adaptive fuzzy inference system (
José de Jesús Rubio +1 more
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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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An Approach to Building Decision Support Systems Based on an Ontology Service
Mathematics, 2021 Modern decision support systems (DSSs) need components for storing knowledge. Moreover, DSSs must support fuzzy inference to work with uncertainty.
Anton Romanov +3 more
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Simpful: A User-Friendly Python Library for Fuzzy Logic
International Journal of Computational Intelligence Systems, 2020 Many researchers have used fuzzy set theory and fuzzy logic in a variety of applications related to computer science and engineering, given the capability of fuzzy inference systems to deal with uncertainty, represent vague concepts, and connect human ...
Simone Spolaor +5 more
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A New Complex Fuzzy Inference System With Fuzzy Knowledge Graph and Extensions in Decision Making
IEEE Access, 2020 Context and Background:Complex fuzzy theory has a strong practical implication in many real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to overcome the challenges of uncertain, periodic data.
Luong Thi Hong Lan +6 more
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Application of a Fuzzy Inference System for Optimization of an Amplifier Design
Mathematics, 2021 Simulation programs are widely used in the design of analog electronic circuits to analyze their behavior and to predict the response of a circuit to variations in the circuit components.
M. Isabel Dieste-Velasco
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Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems [PDF]
, 2010 This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk, Tran, Van Tung
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