模糊特征选择新算法：Ⅱ*

用模糊似然函数计算类内及类间距离，得到任意特征子集的模糊特征特征选择系数，用于特征子集的选择，从而得出最能区分和表征模式类的特征子集。举例说明了该方法的具体用法，表明具有好的实用性。

New Fuzzy Feature Selection Algorithm: H

The fuzzy feature selection index are defined using the distances of intraset and interset of pattern classes,which are calculated by fuzzy likelihood function. The algorithm can be used to compare the importance of any subset of features,so that the most important feature subset can be gotten. An example indicates how to use them in concrete situations,which shows that these methods are applicable.