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In a couple of years that elapsed since the monograph edited by T. Y. Lin and N. Cercone: Rough Sets and Data Mining. Analysis of Imprecise Data (1997) and two monographs edited by L. Polkowski and A. Skowron: Rough Sets in Knowledge Discovery 1, 2 (1998) were presented to the research community (cf. [A]2, [A]3, [A]4 in Bibliography, Appendix 1), rough set researchers have made further progress in...
Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find...
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