对于粗糙集应用中数据不全的解决方法研究

The Solution of Rough Sets to Poor Data Bank

该文针对在粗糙集理论的应用中,由于本身存在或者经过粗糙集理论处理后,所得到的数据不全、短缺的情况,为了发现新的规则,使整个规则系统完备,能够根据以往的数据给决策者提供全面的决策依据,提出了修正唐建国补全法。修正唐建国补全法弥补了唐建国补全法中事先未考虑数据规则的完整性和盲目地进行数据补全的不足,同时对于其决定规则的决策属性的概率计算进行了修改,从而使规则的决策属性的预测性有了明显的提高。

This article states the poor database is very common when you use them.So the demanding database must be all-round,effective collection.When the offering database is poor database,it will affect the application of Supporter Deciding.To this question,the author brings out one solution to solve the poor database basing on the Rough Sets Theory.It can scientifically,correctly,effectively supplement the poor database,and can offer greatly help to enforce the application of data and artificial intelligence.