粗糙集新预处理算法故障诊断的应用研究

在处理不确定、不精确、不一致因素和不完备信息的方法中,粗糙集是比概率论、模糊集、证据理论有优势的一种方法.在阐述了粗糙集的理论的基础上提出了一种属性约简的新的预处理算法来去除信息系统中的干扰属性,通过电能表故障诊断的实例分析表明该算法能够成功用于决策判断,并且该算法能够得到决策表的较优的最小约简.

Application researching about trouble diagnosis based on rough sets's new preprocessing algorithm

Within the methods processing the indeterminate,imprecise,disaccord factor and imperfect information,theory of rough sets is a more preponderant method than probability theory,faintness sets and proof theory.A kind of new preprocessing algorithm about attribute reduction on the introducing the theory of rough sets to wipe off the interferential attribute in the information system is put for-ward,and then a example about trouble diagnosis of ammeter show that this algorithm can succeed to used for the decision judgment,and can get decision table of optimization minimum reduction.