Estimation of class regions in feature space using rough set theory
Fujio Taniguchi, Mineichi Kudo, Masaru Shimbo · 2002
A technique to find sure and ambiguous regions in a class is proposed. These regions are defined by lower approximations in rough set theory. Outputs of many classifiers are combined in order to make such lower approximations and to give class labels to them. As an application of this technique, a classifier with a few misclassifications is proposed.