关键词: 信息熵, 粗糙集, 模糊度, 约简, 支持向量机

Abstract: This paper uses the information entropy method to measure the rough set’s fuzziness，and makes the pretreatment before the reduction of rough’s decision attribute with eliminating the difference which due to the redundance of decision attribute.Combination of SVM in solving the small sample，nonlinear and high dimensional pattern recognition problem has a lot of unique performance advantages.In this paper，an improved algorithm is given and the classification results are tested.

Key words: information entropy, rough set, fuzzy degree, reduction, Support Vector Machine（SVM）