On the principles of fuzzy classification

被引:24
作者
del Amo, A [1 ]
Montero, J [1 ]
Cutello, T [1 ]
机构
[1] Univ Complutense, Fac Math, E-28040 Madrid, Spain
来源
18TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS | 1999年
关键词
D O I
10.1109/NAFIPS.1999.781779
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we analyze the concept of fuzzy partition, starting from the classical key definition given by Ruspini. Our main claim is that such a definition is too restrictive, since it assumes a particular set of classes that in practice may be reached only after a long learning process. As a consequence, some principles to be taken into account in fuzzy classification methods are discussed.
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页码:675 / 679
页数:5
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