摘要
提出了一种基于粗糙集的不完备信息系统数据填补方法。该方法利用粗糙集中下近似集的性质进行初次数据填补,然后根据属性数据的取值概率函数求出的结果进行二次填补,从而完成对不完备信息系统的完备化处理。采用本方法可以较好地反映信息系统所蕴含的规则,且可以避免信息系统的冲突。当信息系统数据和丢失数据都均匀分布时,填补的数据能反映信息系统的真实状况。
This paper brought forward a data packing method of incomplete information system based on rough sets and grey system theory. This method takes advantage of the lower approximation in rough sets to do the first data packing, and then, according to the value-taking probability of the attribute value, finds the result to do the second packing, thus accomplishes the completion of incomplete information system. This method can adequately reflect the rules and avoid the conflict in information system. When the data in information system and the lost data are evenly distributed, the packing data can reflect the true situation of information system.
出处
《计算机应用》
CSCD
北大核心
2007年第6期1385-1387,共3页
journal of Computer Applications
基金
兰州交通大学"青蓝"人才工程基金资助项目(QL-05-10A)
关键词
不完备信息
粗糙集
统计评判
信息填补
incomplete information
rough sets
statistic judge
data packing
