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Checking whether or not rough-set-based methods to incomplete data satisfy a correctness criterion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2005) 3558 LNAI 227-239
DOI: 10.1007/11526018_23
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Abstract

Methods based on rough sets to data containing incomplete information are examined for whether a correctness criterion is satisfied or not. It is clarified that the methods proposed so far do not satisfy the correctness criterion. Therefore, we show a new formula that satisfies the correctness criterion in methods by valued tolerance relations. © Springer-Verlag Berlin Heidelberg 2005.

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CITATION STYLE

APA

Nakata, M., & Sakai, H. (2005). Checking whether or not rough-set-based methods to incomplete data satisfy a correctness criterion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3558 LNAI, pp. 227–239). Springer Verlag. https://doi.org/10.1007/11526018_23

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