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

页码：481 / 492

页数：12