摘要
多分类器系统是近年来兴起的一种有效的分类机制,为提高多分类器系统的分类精度,提出了一种基于粗糙集约简构造多分类器系统的机制,并从输入和输出两个角度对如何选择单个分类器进行了探讨。通过对4个UCI数据集进行验证,发现基于输出的选择融合方法得到了最好的分类效果。
Muhiple classification systems（MCSs） are a new classification technique rising in recent years.In order to the classification performance of MCSs,a technique is proposed to construct multiple classification systems based on rough set reduction.The method of selecting the single classifiers in two points is presented,which is the point of input and output respectively.Experiments show that the MCSs constructed by the method based on output get the best classification performances.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第3期49-50,93,共3页
Computer Engineering and Applications
基金
东北林业大学青年科研基金No.07024~~
关键词
多分类器系统
粗糙集
约简
multiple classification systems
rough set
reduction
