Abstract
Dynamics with respect to attributes in an information (decision) table is studied. That is, we show how the main rough set instruments change when new knowledge (in form of new attributes) is available. In particular, we analyze the approximations, positive regions, generalized decision, reducts and rules. With respect to classification, an algorithm to update reducts and rules is presented and a preliminary study on rule performance is given.
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Ciucci, D. (2011). Attribute Dynamics in Rough Sets. In: Kryszkiewicz, M., Rybinski, H., Skowron, A., Raś, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2011. Lecture Notes in Computer Science(), vol 6804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21916-0_5
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DOI: https://doi.org/10.1007/978-3-642-21916-0_5
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