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

✍ Scribed by Jurgen Martens; Geert Wets; Jan Vanthienen; Christophe Mues

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
210 KB
Volume
15
Category
Article
ISSN
0957-4174

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✦ Synopsis

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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