Hierarchical-interpolative fuzzy system construction by Genetic and Bacterial Programming Algorithms
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gp-bibliography.bib Revision:1.8081
- @InProceedings{Balazs:2011:ieeeFUZZ,
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author = "Krisztian Balazs and Laszlo T. Koczy",
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title = "Hierarchical-interpolative fuzzy system construction
by Genetic and Bacterial Programming Algorithms",
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booktitle = "IEEE International Conference on Fuzzy Systems (FUZZ
2011)",
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year = "2011",
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month = "27-30 " # jun,
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pages = "2116--2122",
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address = "Taipei, Taiwan",
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size = "7 pages",
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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.",
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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",
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DOI = "doi:10.1109/FUZZY.2011.6007594",
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ISSN = "1098-7584",
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notes = "Also known as \cite{6007594}",
- }
Genetic Programming entries for
Krisztian Balazs
Laszlo T Koczy
Citations