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An initial comparison of a fuzzy neural classifier and a decision tree based classifier

Record type: Article

At the present time a large number of AI methods have been developed in the field of pattern classification. In this paper, we will compare the performance of a well-known algorithm in machine learning (C4.5) with a recently proposed algorithm in the fuzzy set community (NEFCLASS). We will compare the algorithms both on the accuracy attained and on the size of the induced rule base. Additionally, we will investigate how the selected algorithms perform after they have been pre-processed by discretization and feature selection.

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Citation

Martens, Jurgen, Wets, Geert, Vanthienen, Jan and Mues, Christophe (1998) An initial comparison of a fuzzy neural classifier and a decision tree based classifier Expert Systems with Applications, 15, (3-4), pp. 375-381. (doi:10.1016/S0957-4174(98)00057-8).

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Published date: 1998

Identifiers

Local EPrints ID: 36403
URI: http://eprints.soton.ac.uk/id/eprint/36403
ISSN: 0957-4174
PURE UUID: 366a96a0-1f8c-447f-bea1-934019806eea

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Date deposited: 01 Aug 2006
Last modified: 17 Jul 2017 15:44

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Contributors

Author: Jurgen Martens
Author: Geert Wets
Author: Jan Vanthienen
Author: Christophe Mues

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