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Feature selection with fuzzy decision reducts

Chris Cornelis (UGent) , Germán Hurtado Martín (UGent) , Richard Jensen and Dominik Slezak
(2008) LECTURE NOTES IN ARTIFICIAL INTELLIGENCE. 5009. p.284-291
Author
Organization
Abstract
In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set framework for data-based attribute selection and reduction, based on the notion of fuzzy decision reducts. Experimental analysis confirms the potential of the approach.

Citation

Please use this url to cite or link to this publication:

MLA
Cornelis, Chris, et al. “Feature Selection with Fuzzy Decision Reducts.” LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 5009, 2008, pp. 284–91.
APA
Cornelis, C., Hurtado Martín, G., Jensen, R., & Slezak, D. (2008). Feature selection with fuzzy decision reducts. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 5009, 284–291.
Chicago author-date
Cornelis, Chris, Germán Hurtado Martín, Richard Jensen, and Dominik Slezak. 2008. “Feature Selection with Fuzzy Decision Reducts.” In LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 5009:284–91.
Chicago author-date (all authors)
Cornelis, Chris, Germán Hurtado Martín, Richard Jensen, and Dominik Slezak. 2008. “Feature Selection with Fuzzy Decision Reducts.” In LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, 5009:284–291.
Vancouver
1.
Cornelis C, Hurtado Martín G, Jensen R, Slezak D. Feature selection with fuzzy decision reducts. In: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE. 2008. p. 284–91.
IEEE
[1]
C. Cornelis, G. Hurtado Martín, R. Jensen, and D. Slezak, “Feature selection with fuzzy decision reducts,” in LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, Chengdu, China, 2008, vol. 5009, pp. 284–291.
@inproceedings{675489,
  abstract     = {{In this paper, within the context of fuzzy rough set theory, we generalize the classical rough set framework for data-based attribute selection and reduction, based on the notion of fuzzy decision reducts. Experimental analysis confirms the potential of the approach.}},
  author       = {{Cornelis, Chris and Hurtado Martín, Germán and Jensen, Richard and Slezak, Dominik}},
  booktitle    = {{LECTURE NOTES IN ARTIFICIAL INTELLIGENCE}},
  isbn         = {{978-3-540-79720-3}},
  issn         = {{0302-9743}},
  language     = {{eng}},
  location     = {{Chengdu, China}},
  pages        = {{284--291}},
  title        = {{Feature selection with fuzzy decision reducts}},
  volume       = {{5009}},
  year         = {{2008}},
}
Web of Science
Times cited: