摘要
本文用灰色关联分析来替代模糊隶属度的求解,提出了一种新的有效地刻画样本不确定性的隶属度计算方法,理论上表明它是解决模糊支持向量机方法中一般使用特征空间中样本与类中心之间的距离关系构建隶属度函数的不足的方法之一,在一些特定条件下分类性能要强一些.
This paper attempts toapply analysis of grey theory in fuzzy membership. Relative to the fuzzy membership as a function of distance between the point and its class center in feature space for some current fuzzy support vector machines, a new and more dffective fuxxy membership as a function of affinity among samples is proposed for the measuremement of the inaccuracy of samples.
出处
《数学理论与应用》
2007年第2期108-111,共4页
Mathematical Theory and Applications
关键词
灰色关联分析
支持向量机
统计学习理论
模糊隶属度
grey connection analysis
support vector machine
ststistic learning theory
fuzzy membership
