Hierarchical-interpolative fuzzy system construction by Genetic and Bacterial Programming Algorithms

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@InProceedings{Balazs:2011:ieeeFUZZ,

• author = "Krisztian Balazs and Laszlo T. Koczy",
• title = "Hierarchical-interpolative fuzzy system construction by Genetic and Bacterial Programming Algorithms",
• booktitle = "IEEE International Conference on Fuzzy Systems (FUZZ 2011)",
• year = "2011",
• month = "27-30 " # jun,
• pages = "2116--2122",
• address = "Taipei, Taiwan",
• size = "7 pages",
• abstract = "In this paper a method is proposed for constructing hierarchical-interpolative fuzzy rule bases in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The resulting hierarchical rule base is the knowledge base, which is constructed by using evolutionary techniques, namely, Genetic and Bacterial Programming Algorithms. Applying hierarchical-interpolative fuzzy rule bases is an advanced way of reducing the complexity of the knowledge base, whereas evolutionary methods ensure a relatively efficient learning process. This is the reason of the investigation of this combination.",
• keywords = "genetic algorithms, genetic programming, bacterial programming, black box system, evolutionary technique, hierarchical-interpolative fuzzy rule bases construction, knowledge base, supervised machine learning problem, fuzzy logic, knowledge based systems, learning (artificial intelligence), mathematical programming",
• DOI = "doi:10.1109/FUZZY.2011.6007594",
• ISSN = "1098-7584",
• notes = "Also known as \cite{6007594}",

}

Genetic Programming entries for Krisztian Balazs Laszlo T Koczy

Citations