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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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A method of converting conventional fuzzy logic system to 2 layered hierarchical fuzzy system
The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004To solve the rule explosion problem in a multi input fuzzy logic system, a method of converting a given fuzzy system to a 2 layered hierarchical fuzzy system is presented where the collection of the THEN-parts of the fuzzy rules of given fuzzy system is considered as vectors of fuzzy rule.
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Design of a hierarchical fuzzy logic PSS for a multi-machine power system
2007 Mediterranean Conference on Control & Automation, 2007The performance of fuzzy-logic power system stabilizer (FPSS), which is tuned automatically as the operating conditions of power system change, is investigated by applying it to a multi-machine power system. FPSS is developed using speed deviation and the derivative of speed deviation as the controller inputs variables.
T. Hussein, A. L. Elshafei, A. Bahgat
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A mathematical formulation of hierarchical systems using fuzzy logic systems
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 1994In this paper, we use fuzzy logic systems to model higher levels of hierarchical systems. Specifically, we consider three-level hierarchical systems where the lowest level comprises the plant and convertional feedback controllers, the middle level performs supervisory operations to guarantee the stability of the whole system, and the top level is a ...
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Decomposition and hierarchical control for discrete complex systems by fuzzy logic controllers
2009 6th International Multi-Conference on Systems, Signals and Devices, 2009This paper proposes a method to compute sub-optimal control strategies of discrete time large-scale non-linear systems by fuzzy logic controllers. The method is based on the principle of decomposition of the global system into inter-connected subsystems. We consider that the non-linearities are located in the interconnections terms.
Najla Krichen Masmoudi +3 more
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Designing Unsupervised Hierarchical Fuzzy Logic Systems
2009Systems such as robotic systems and systems with large input-output data tend to be difficult to model using mathematical techniques. These systems have typically high dimensionality and have degrees of uncertainty in many parameters. Artificial intelligence techniques such as neural networks, fuzzy logic, genetic algorithms and evolutionary algorithms
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Modelling, Control and Prediction using Hierarchical Fuzzy Logic Systems
International Journal of Fuzzy System Applications, 2017Hierarchical fuzzy logic systems are increasingly applied to solve complex problems. There is a need for a structured and methodological approach for the design and development of hierarchical fuzzy logic systems. In this paper a review of a method developed by the author for design and development of hierarchical fuzzy logic systems is considered. The
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A Hierarchical Fuzzy Logic Control System for Malaysian Motor Tariff with Risk Factors
2016In many countries, including Malaysia, it is made compulsory to have a motor insurance policy and the premium is determined based on the Motor Tariff which ensures that a standard premium is imposed to the policyholders. At present, the premium in Malaysia includes only two factors which are the sum insured and the cubic capacity of the engine.
Daud Mohamad, Lina Diyana Mohd Jamal
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Decomposing Conventional Fuzzy Logic Systems to Hierarchical Fuzzy Systems
2023 IEEE International Conference on Fuzzy Systems (FUZZ), 2023Tajul Rosli Bin Razak +4 more
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Designing Layers in Hierarchical Fuzzy Logic Systems Using Genetic Algorithms
2007In this paper the design and development of hierarchical fuzzy logic systems is investigated using genetic algorithms. This research study is unique in the way the proposed method is applied to the design and development of hierarchical fuzzy logic systems.
Masoud Mohammadian, Russel Stonier
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