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.
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. © 2011 Springer-Verlag Berlin Heidelberg.
Ciucci, D. (2011). Attribute Dynamics in Rough Sets. In Foundations of Intelligent Systems (pp.43-51). Berlin : Springer [10.1007/978-3-642-21916-0_5].
Attribute Dynamics in Rough Sets
CIUCCI, DAVIDE ELIO
2011
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. © 2011 Springer-Verlag Berlin Heidelberg.
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