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OALib Journal期刊
ISSN: 2333-9721
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A data packing method of statistic judge based on rough sets in incomplete information system
基于粗糙集的不完备信息系统统计评判填补方法

Keywords: incomplete information,rough sets,statistic judge,data packing
不完备信息
,粗糙集,统计评判,信息填补,粗糙集,不完备信息系统,系统统计,填补方法,incomplete,information,system,rough,sets,based,judge,statistic,method,of,packing,状况,丢失数据,均匀分布,规则,处理,完备化,结果,概率函数,取值

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Abstract:

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.

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