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On the principles of fuzzy classification.

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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

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


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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:20 Apr 2016 16:44

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