摘要
针对不一致决策表对于信息分类精度与稳定性的不利影响,提出基于粗集理论的利用不同形式频率约简与动态约简技术相结合的信息分类方法。首先利用频率约简对不一致决策表进行一致性处理,然后利用动态约简技术对获取的一致决策表进行分类。通过测试系统计算表明,充分结合两者的优良特性,在不损失数据信息前提下,提高了不一致决策表的分类精度和稳定性。
According to the adverse effect of inconsistent decision tables on accuracy and stability of information classification,this paper proposes a method of classification for inconsistent decision tables by combining multiform frequency reducts with dynamic reducts based on rough set. The method firstly converts inconsistent .decision tables into consistent decision tables by frequency reducts, then classifies consistent decision tables by dynamic reducts. Experiment show： On the premise of avoiding the information loss, the method make the best of excellent characteristics of two reducts to improve accuracy and stability of information classification of inconsistent decision tables.
出处
《软件》
2013年第6期47-50,共4页
Software
关键词
不一致决策表
分类
动态约简
频率约简
粗糙集
Inconsistent Decision Table
Information Classification
Dynamic Reducts
Frequency Reducts
Rough Set
