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利用粗糙集的知识来进行缺失数据填补的方法很多,但很多都没有考虑到决策规则。文章利用核值的重要性,通过构造可辨识矩阵,使得填补的数据更好的遵循决策规则,消除噪音数据。
There are many ways to use the knowledge of rough set to fill in missing data, but many of them do not consider decision rules. By using the importance of nuclear values, the article constructs a discernible matrix so that the filled data can better follow the decision rules and eliminate the noise data.