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 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

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.

引用

页码：675 / 679

页数：5

共 19 条

[1]

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[2]

BEZDEK JC, 1992, FUZZY MODELS PATTERN, P1

[3]

Cutello V, 1999, INT J INTELL SYST, V14, P3, DOI 10.1002/(SICI)1098-111X(199901)14:1<3::AID-INT2>3.0.CO

[4]

2-K