关键词: 不平衡数据 类加权 模糊隶属度 分类算法

Abstract: Using data sets that contain very few instances of the positive class usually produces biased classifiers and has a lower predictive accuracy over the positive class （usually the more important class） than over the negative class. Proposed a classificatio

Key words: Imbalanced data set, Weighted-class, Fuzzy membership, Classification algorithm