摘要
本文提出了一种基于模糊规则的分类方法。首先介绍了一种新的模糊规则提取方法 ,然后基于所提取的模糊规则给出了一个采用二级判决的分类算法 ,并利用IRIS数据对此分类算法进行了仿真测试。结果表明 ,该算法在训练样本较少的情况下 ,仍能得到很好的分类效果。
A new classification method is proposed based on fuzzy rules. This method firstly introduces the fuzzy rule extraction technology which is suitable for classification, then presents a two-level determination classification algorithm based on fuzzy rules. The performance of the classification algorithm is tested by the real IRIS data, And the results show that this algorithm has very good classification performance even with fewer training samples.
出处
《计算机工程与科学》
CSCD
2004年第3期57-60,共4页
Computer Engineering & Science
