摘要
针对不完备信息系统,提出缺失比概念.用缺失比表示待填充样本中缺失数据和剩余数据对决策结果的影响能力的大小,进而根据缺失比选择使用的约简,然后通过填充矩阵寻找缺失数据的最大可能值.采用对Rough集进行扩充和数据填补相结合的决策表数据补齐方法.试验结果表明该方法有较好效果.
The concept of miss-ratio was defined. Miss-ratio is a ratio about data between missing and leaving. It can be used to express the effect for decisions in incomplete information systems. And we can choose the reduction based on miss-ratio and search optimization values for missing data based on filling-matrix. The data complement method for incomplete decision tables was proposed based on rough set extension and data complement. Experiment results show that this method is effective.
出处
《天津科技大学学报》
CAS
2007年第3期62-64,共3页
Journal of Tianjin University of Science & Technology
基金
天津科技大学自然科学基金资助项目(20050226)
天津高等学校科技发展计划基金资助项目(04310951R)
关键词
ROUGH集
数据补齐
不完备信息系统
遗漏值
rough sets
data complementation
incomplete information systems
missing values
