An Analysis of Problem about Rough Set Theory in Fault Diagnosis
Liu Hui · Computer Technology and Development · 2008
Rough set theory can reduce the redundant information in the system.But the process of the reduction only based on the sample set.The integrality of the sample set will influence the result directly.Rough set theory and the problem consist in the reduction of the attribute in fault diagnosis are analyzed in this paper.It proved that when the sample set of the fault is incomplete,the result of the attribute reduction will be variant when a new sample is joined into the sample set,and this will influence the correctness of the diagnosis.Pointed out the pivotal reason and the method that can resolve the problem,and the resolved algorithm is also put forward.It will enhance the ability of the self-adaptation of the system.