Fuzzy classification by evolutionary algorithms
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- @InProceedings{Kromer:2011:SMC,
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author = "Pavel Kromer and Jan Platos and Vaclav Snasel and
Ajith Abraham",
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title = "Fuzzy classification by evolutionary algorithms",
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booktitle = "IEEE International Conference on Systems, Man, and
Cybernetics (SMC 2011)",
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year = "2011",
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month = "9-12 " # oct,
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pages = "313--318",
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address = "Anchorage, Alaska, USA",
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size = "6 pages",
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abstract = "Fuzzy sets and fuzzy logic can be used for efficient
data classification by fuzzy rules and fuzzy
classifiers. This paper presents an application of
genetic programming to the evolution of fuzzy
classifiers based on extended Boolean queries. Extended
Boolean queries are well known concept in the area of
fuzzy information retrieval. An extended Boolean query
represents a complex soft search expression that
defines a fuzzy set on the collection of searched
documents. We interpret the data mining task as a fuzzy
information retrieval problem and we apply a proven
method for query induction from data to find useful
fuzzy classifiers. The ability of the genetic
programming to evolve useful fuzzy classifiers is
demonstrated on two use cases in which we detect faulty
products in a product processing plant and discover
intrusions in a computer network.",
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keywords = "genetic algorithms, genetic programming, computer
network, data classification, data mining, document
retrieval, evolutionary algorithms, extended Boolean
queries, fuzzy classification, fuzzy information
retrieval, fuzzy logic, fuzzy rules, fuzzy sets,
intrusion, query induction, data mining, document
handling, fuzzy logic, fuzzy set theory, pattern
classification, query processing, security of data",
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DOI = "doi:10.1109/ICSMC.2011.6083684",
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ISSN = "1062-922X",
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notes = "Also known as \cite{6083684}",
- }
Genetic Programming entries for
Pavel Kromer
Jan Platos
Vaclav Snasel
Ajith Abraham
Citations