Resumen

FILIBERTO, Yaima; BELLO, Rafael; CABALLERO, Yailé  y  LARRUA, Rafael. A measure in the rough set theory to decision systems with continuo features. Rev.fac.ing.univ. Antioquia [online]. 2011, n.60, pp.141-152. ISSN 0120-6230.

The Rough set theory provides several measures and techniques to data analysis, especially in the case of problems in which the decision feature has a discrete domain. In this paper a measure and methods are proposed which allow extending this theory to the case of problems in which the features have a continuo domain, especially the decision feature. The experimental studies show their affectivity.

Palabras clave : Feature selection; function approximation; rough set theory.

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