Title :
Estimation of class regions in feature space using rough set theory
Author :
Taniguchi, Fumitake ; Kudo, Mineichi ; Shimbo, Masaru
Author_Institution :
Div. of Syst. & Inf. Eng., Hokkaido Univ., Sapporo, Japan
Abstract :
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
Keywords :
approximation theory; pattern classification; set theory; uncertain systems; ambiguous regions; class labels; class region estimation; classifier output combination; feature space; lower approximations; misclassifications; rough set theory; Australia; Feature extraction; Intelligent systems; Pattern recognition; Region 3; Rough sets; Set theory; Systems engineering and theory;
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3755-7
DOI :
10.1109/KES.1997.619411
