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

被引：6
|
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：
EXPERT SYSTEMS WITH APPLICATIONS | 1998年 / 15卷 / 3-4期
关键词：
D O I：
10.1016/S0957-4174(98)00057-8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：375 / 381
页数：7
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