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

被引：0
|
作者：
Martens, J [1 ]
Wets, G [1 ]
Vanthienen, J [1 ]
Mues, C [1 ]
机构：
[1] Catholic Univ Louvain, Dept Econ & Appl Econ, B-3000 Louvain, Belgium
来源：
4TH WORLD CONGRESS OF EXPERT SYSTEMS, VOL 1 AND 2: APPLICATION OF ADVANCED INFORMATION TECHNOLOGIES | 1998年
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D O I：
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中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
As of this writing, a large number of Al 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 attained accuracy as 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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页码：537 / 544
页数：8
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