基于粗糙集属性贴近度的聚类方法与应用

Clustering Method Based on Similarity Measure of Rough Set and Its Applications

利用基于粗糙集对象属性贴近度的模糊聚类方法,解决信息表中属性值定性和定量描述并存情况的聚类问题。首先,给出对象的属性贴近度公式;然后利用该公式建立模糊矩阵,进而给出聚类方法。最后以实例说明该方法。

The problem on clustering as the quantitative attributes and the qualitative attributes coexisting in information table was solved with fuzzy clustering method based on similarity measure of rough set.First,a formula of attribute similarity measure of the object was given,then fuzzy matrix was constructed with the formula.Moreover,a clustering method was also proposed.Finally,an actual example is given to have expatiated this method and the idea.