计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (27): 154-156.DOI: 10.3778/j.issn.1002-8331.2008.27.049
• 数据库、信号与信息处理 • 上一篇 下一篇
赵成龙,张 冉
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ZHAO Cheng-long,ZHANG Ran
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摘要： 利用格贴近度对模糊集的贴近程度进行度量，给出一种基于格贴近度的SVM决策树层次结构设计方法，从而解决对多类模糊样本的分类问题。实验结果表明：基于该层次结构设计方法得到的多类分类器，对多类模糊样本具有良好的分类效果。
Abstract: Design the hierarchical structure of SVM decision tree based on the lattice close-degree to settle the fuzzy multi-classification.The experimental results show that the SVM decision tree algorithm based on this hierarchical structure has good separation ability.
赵成龙,张 冉. 基于格贴近度的SVM决策树层次结构设计方法[J]. 计算机工程与应用, 2008, 44(27): 154-156.
ZHAO Cheng-long,ZHANG Ran. Method of designing hierarchical structure of SVM decision tree based on lattice close-degree[J]. Computer Engineering and Applications, 2008, 44(27): 154-156.
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链接本文: http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.2008.27.049
http://cea.ceaj.org/CN/Y2008/V44/I27/154
