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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 6/2013

01.12.2013 | Original Article

Two kinds of multi-level formal concepts and its application for sets approximations

verfasst von: Mingwen Shao, Hongzhi Yang

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 6/2013

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Abstract

In this paper, we introduce two pairs of operators in fuzzy formal contexts. Based on the proposed operators, we present two kinds of multi-level formal concepts. We also propose two pairs of rough approximation operators by employing the two kinds of multi-level formal concepts. By the proposed rough set approximation operators, we not only approximate a crisp set, but also approximate a fuzzy set. Finally, we discuss the properties of the proposed approximation operators in details.
Vorheriger Artikel A variational Bayesian framework for group feature selection
Nächster Artikel Fuzzy rough set models over two universes

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Metadaten
Titel
Two kinds of multi-level formal concepts and its application for sets approximations
verfasst von
Mingwen Shao
Hongzhi Yang
Publikationsdatum
01.12.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 6/2013
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-012-0128-2

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