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A Self-Organized Method for a Hierarchical Fuzzy Logic System Based on a Fuzzy Autoencoder
IEEE Transactions on Fuzzy Systems, 2022Tao Zhao 0003, Hongyi Cao, Songyi Dian
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An adaptive hierarchical fuzzy logic system for modelling of financial systems
Intelligent Systems in Accounting, Finance and Management, 2004AbstractIn this paper an intelligent hierarchical fuzzy logic system using genetic algorithms for the prediction and modelling of interest rates in Australia is developed. The proposed system uses a hierarchical fuzzy logic system in which a genetic algorithm is used as a training method for learning the fuzzy rules knowledge bases that are used for ...
Masoud Mohammadian, Mark Kingham
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Analysis and Modelling of Hierarchical Fuzzy Logic Systems
Journal of Information Technology Research, 2008In this article the design and development of a hierarchical fuzzy logic system is investigated. A new method using an evolutionary algorithm for design of hierarchical fuzzy logic system for prediction and modelling of interest rates in Australia is developed.
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Hierarchical Fuzzy Logic Systems in Classification: An Application Example
2017This paper focuses on problems related to learning rules using numerical data for the Hierarchical Fuzzy Logic Systems (HFLS) described in [8]. Using hierarchical structure of Fuzzy Logic Systems (FLS) some complex problems could be divided into subproblems with smaller dimensions. “Hierarchical” means that fuzzy sets produced as output of one of fuzzy
Krzysztof Renkas, Adam Niewiadomski
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Hierarchical Fuzzy-Logic Expert Systems for Medical Diagnostics
Informacionnye Tehnologii, 2022Unlike numerous publications on the application of fuzzy logic in medicine, where the main attention was paid to the medical features of the problem, this work for the first time formulates the most effective areas and general methodological aspects of constructing such systems.
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Hierarchical Fuzzy Logic Systems: Current Research and Perspectives
2014This paper presents possible application of hierarchical fuzzy logic systems to control vehicles in computer games. The main idea is presented in two ways, a current research referring to paper [14] and concerning the new architecture of a fuzzy logic system as Hierarchical Fuzzy Logic Systems (HFLS), and a brief look at the application of higher order
Krzysztof Renkas, Adam Niewiadomski
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Innovative Design of Adaptive Hierarchical Fuzzy Logic Systems
International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06), 2006In this paper the supervised and unsupervised fuzzy concept learning using evolutionary algorithms is considered. The paper explores the design and development of hierarchical fuzzy logic systems using an evolutionary algorithm. The development of hierarchical fuzzy logic systems is considered by a new method which determines the number of layers in ...
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Electricity Load Prediction Using Hierarchical Fuzzy Logic Systems
2005Electricity load forecasting has been the subject of research over the past several years by researchers and practitioners in academia and industry. This is due to its very important role for effective and economic operation of power stations. In this paper an intelligent hierarchical fuzzy logic system using genetic algorithms for the prediction and ...
Masoud Mohammadian, Ric Jentzsch
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Design of Hierarchical Fuzzy Logic Control for Mobile Robot System
2006 IEEE Conference on Robotics, Automation and Mechatronics, 2006This paper studies the problem of motion and control law design for a mobile robot that moves inside a partially unknown environment, under the assumption of parametric uncertainty in the model that describes the motion of the robot. This paper deals with a fuzzy-based intelligent mobile robotic system by hierarchical structure that requires various ...
Lon-chen Hung, Hung-yuan Chung
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Learning Rules for Hierarchical Fuzzy Logic Systems with Selective Fuzzy Controller Activation
2015This paper focuses on problems related to learning rules using numerical data for the Hierarchical Fuzzy Logic Systems (HFLS) described in [9]. Learning rules for Fuzzy Logic Systems (FLS) or Fuzzy Controller (FC) in short could be accomplished by using many different approaches, building one, complex rulebase using all available input and output ...
Krzysztof Renkas +2 more
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