Universidad Complutense de Madrid
E-Prints Complutense

On the principles of fuzzy classification.

Impacto

Downloads

Downloads per month over past year

Amo, Ana del and Montero, Javier (1999) On the principles of fuzzy classification. In 18th International Conference of the North American Fuzzy Information Processing Society NAFIPS : june 10-12, 1999, New York, USA / edited by Rajesh N. Davé, Thomas Sudkamp ; sponsored by NAFIPS in cooperation with IEEE Neural Networks Council and IEEE Sy. IEEE, New York, NY, pp. 675-679. ISBN 0-7803-5211-4

[thumbnail of Montero125.pdf]
Preview
PDF
476kB

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=781779&abstractAccess=no&userType=inst




Abstract

In this paper we analyze the concept of fuzzy partition, starting from the classical key definition given by E.H. Ruspini (1969). 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


Item Type:Book Section
Subjects:Sciences > Mathematics > Logic, Symbolic and mathematical
ID Code:29159
Deposited On:11 Mar 2015 10:02
Last Modified:02 Sep 2020 09:58

Origin of downloads

Repository Staff Only: item control page