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An Evaluation Method of Relative Reducts Based on Roughness of Partitions

An Evaluation Method of Relative Reducts Based on Roughness of Partitions

Yasuo Kudo, Tetsuya Murai
Copyright: © 2010 |Volume: 4 |Issue: 2 |Pages: 13
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781609603984|DOI: 10.4018/jcini.2010040104
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MLA

Kudo, Yasuo, and Tetsuya Murai. "An Evaluation Method of Relative Reducts Based on Roughness of Partitions." IJCINI vol.4, no.2 2010: pp.50-62. http://doi.org/10.4018/jcini.2010040104

APA

Kudo, Y. & Murai, T. (2010). An Evaluation Method of Relative Reducts Based on Roughness of Partitions. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 4(2), 50-62. http://doi.org/10.4018/jcini.2010040104

Chicago

Kudo, Yasuo, and Tetsuya Murai. "An Evaluation Method of Relative Reducts Based on Roughness of Partitions," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 4, no.2: 50-62. http://doi.org/10.4018/jcini.2010040104

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Abstract

This paper focuses on rough set theory which provides mathematical foundations of set-theoretical approximation for concepts, as well as reasoning about data. Also presented in this paper is the concept of relative reducts which is one of the most important notions for rule generation based on rough set theory. In this paper, from the viewpoint of approximation, the authors introduce an evaluation criterion for relative reducts using roughness of partitions that are constructed from relative reducts. The proposed criterion evaluates each relative reduct by the average of coverage of decision rules based on the relative reduct, which also corresponds to evaluate the roughness of partition constructed from the relative reduct,

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