Evolving Fuzzy Decision Trees with Genetic Programming and Clustering
Created by W.Langdon from
gp-bibliography.bib Revision:1.7989
- @InProceedings{eggermont:2002:EuroGP,
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title = "Evolving Fuzzy Decision Trees with Genetic Programming
and Clustering",
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author = "Jeroen Eggermont",
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editor = "James A. Foster and Evelyne Lutton and
Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi",
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booktitle = "Genetic Programming, Proceedings of the 5th European
Conference, EuroGP 2002",
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volume = "2278",
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series = "LNCS",
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pages = "71--82",
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publisher = "Springer-Verlag",
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address = "Kinsale, Ireland",
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publisher_address = "Berlin",
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month = "3-5 " # apr,
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year = "2002",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-43378-3",
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URL = "http://www.liacs.nl/~jeggermo/publications/eurogp2002.ps.gz",
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DOI = "doi:10.1007/3-540-45984-7_7",
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abstract = "In this paper we present a new fuzzy decision tree
representation for n-category data classification using
genetic programming. The new fuzzy representation uses
fuzzy clusters for handling continuous attributes. To
make optimal use of the fuzzy classifications of this
representation an extra fitness measure is used. The
new fuzzy representation will be compared, using
several machine learning data sets, to a similar
non-fuzzy representation as well as to some other
evolutionary and non-evolutionary algorithms from
literature.",
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notes = "EuroGP'2002, part of \cite{lutton:2002:GP}",
- }
Genetic Programming entries for
Jeroen Eggermont
Citations