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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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2023
This thesis examines the genetic learning of fuzzy control rules. It applies concepts of evolutionary learning found in biology through the application of genetic algorithms and evolutionary algorithms to the complex task of rule determination in fuzzy control systems. A set of fuzzy rules is encoded as a chromosome of a genetic algorithm and the rules
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This thesis examines the genetic learning of fuzzy control rules. It applies concepts of evolutionary learning found in biology through the application of genetic algorithms and evolutionary algorithms to the complex task of rule determination in fuzzy control systems. A set of fuzzy rules is encoded as a chromosome of a genetic algorithm and the rules
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Hierarchical Type-2 Fuzzy Logic Based Real Time Dynamic Operational Planning System
2014Operational resource planning is critical for successful operations in service-based organizations as it underpins the process of utilizing resources to achieve a higher quality of service whilst lowering operational costs. The majority of service-based organizations use static operational planning.
Ahmed Mohamed 0005 +5 more
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IIE Transactions, 2000
This paper is a case study that describes a hybrid system integrating fuzzy logic, neural networks and algorithmic optimization for use in the ceramics industry. A prediction module estimates two quality metrics of slip-cast pieces through the simultaneous execution of two neural networks.
SARAH S.Y. LAM +2 more
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This paper is a case study that describes a hybrid system integrating fuzzy logic, neural networks and algorithmic optimization for use in the ceramics industry. A prediction module estimates two quality metrics of slip-cast pieces through the simultaneous execution of two neural networks.
SARAH S.Y. LAM +2 more
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Learning Rules for Hierarchical Fuzzy Logic Systems Using Wu & Mendel IF-THEN Rules Quality Measures
2016This paper focuses on problems related to learning rules using numerical data for the Hierarchical Fuzzy Logic Systems (HFLS) described in [12]. Using hierarchical structure of Fuzzy Logic Systems (FLS) complex problems could be divided into subproblems with smaller dimensions.
Krzysztof Renkas, Adam Niewiadomski
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A Fuzzy Autoencoder-Based Self-Organizing Approach to a Hierarchical Fuzzy Logic System
International Journal of Mechanical Engineering, 2023openaire +1 more source
Power System Stabilizer with Self-Tuning Based on Hierarchical Fuzzy Logic Controller
2022 23rd International Middle East Power Systems Conference (MEPCON), 2022F. Selim, Abdel-Fattah Attia
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Design of a Hierarchical Fuzzy Logic PSS For A Single-Machine Power System
i-manager's Journal on Embedded Systems, 2012Varigonda Surendra, G. Srinivasulu
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Development of a Fuzzy Logic Controller as a Power System Stabiliser Using Hierarchical Structure.
1995A fuzzy logic controller (FLC) is designed as a power system stabiliser due to its simplicity and robustness. The input and output membership functions were adjusted according to an evaluation index in order to achieve the optimal performance. The initial FLC design with a complete filled rule table (49 rules) can be reduced using neural network ...
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