%0 Journal Article
%T Multi-feature vague fusion model for image classification<br>一种图像分类的多特征vague融合模型
%A HU Xiao-hong
%A QIAN Xu
%A ZHENG Kai-mei
%A <br>虎晓红
%A 钱旭
%A 郑凯梅
%J 计算机应用研究
%D 2009
%I 
%X For traditional way of image classification, feature fusion scheme would decrease classificatory quality or result in other problems such as curse of dimensionality.This paper proposed a novel approach trying to integrate different features in image classification. Vague set for positive and negativeevidences was applied to analyze and optimize the decisions obtained by multi-classifiers. Through integrating two sides of multiple classification decisions, the classification was optimized and synthesized, thus the processing and the result would be both powerful and stable. Experimental results show that the performance of the classification is greatly improved.
%K information fusion
%K vague set
%K curse of dimensionality
%K membership function<br>信息融合
%K 模糊集
%K 维数灾难
%K 隶属函数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A6F5CA625D597EECDE4671794917CC0B&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=872F6C582A30BA57&eid=E339BF74025BB291&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=10