The presented multi-class SVM is of better classification ability and can solve the unclassifiable region problems int.
新的多类SVM在一定程度上解决了传统投票决策方法的不可分区域问题，因此具有更好的分类性能。
The problems and defections of the existing methods of SVM multi-class classification were analyzed. A multi-class classification based on binary tree was put forward.
介绍了几种常用的支持向量机多类分类方法，分析其存在的问题及缺点。
Multi-attribute decision making of interval numbers is one of a class of uncertain multi-attribute decision making problems.
区间数多属性决策问题就是其中一类不确定多属性决策问题。
Multi-attribute decision making of interval numbers is one of a class of uncertain multi-attribute decision making problems.
区间数多属性决策问题就是其中一类不确定多属性决策问题。
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