Fuzzy Random Forest with C-Fuzzy Decision Trees

被引：9
|
作者：
Gadomer, Lukasz [1 ]
Sosnowski, Zenon A. [1 ]
机构：
[1] Bialystok Tech Univ, Fac Comp Sci, Wiejska 45A, PL-15351 Bialystok, Poland
来源：
COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT, CISIM 2016 | 2016年 / 9842卷
关键词：
Fuzzy tree; C-Fuzzy Decision Tree; Fuzzy random forest;
D O I：
10.1007/978-3-319-45378-1_43
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a new classification solution which joins C-Fuzzy Decision Trees and Fuzzy Random Forest is proposed. Its assumptions are similar to the Fuzzy Random Forest, but instead of fuzzy trees it consists of C-Fuzzy Decision Trees. To test the proposed classifier there was performed a set of experiments. These experiments were performed using four datasets: Ionosphere, Dermatology, Pima-Diabetes and Hepatitis. Created forest was compared to C4.5 rev. 8 Decision Tree and single C-Fuzzy Decision Tree. The influence of randomness on the classification accuracy was also tested.
引用
收藏
页码：481 / 492
页数：12
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