Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

Authors:
Richard Jensen;Qiang Shen
Affiliations:
-;-
Venue:
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
Year:
2008

Citing 0
Cited 35

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Abstract

Computational Intelligence and Feature Selection provides a high level audience with both the background and fundamental ideas behind feature selection with an emphasis on those techniques based on rough and fuzzy sets, including their hybridizations. It introduces set theory, fuzzy set theory, rough set theory, and fuzzy-rough set theory, and illustrates the power and efficacy of the feature selection described through the use of real-world applications and worked examples. Program files implementing major algorithms covered, together with the necessary instructions and datasets, are available on the Web.