A Rough Set Feature Selection Approach Dealing with Inconsistent Data

Most of feature selection algorithms can not deal with inconsistent data. This article constructs an approach to combine inconsistent data to consistent data. When the ratio of one of the values of a kind of inconsistent data is more than a threhold, the kind of inconsistent data takes this value and only one data is kept. Based on this, the article gives a rough set feature selection approach which can deal with inconsistent data.