Abnormal Data Processing of Sensor Based on Rough Sets
Houjun Wang · Dianzi Ke-ji Daxue xuebao · 2006
In the applications of various sensors,the measurement data are usually to be processed in order to ensure the reliability and the accuracy of the measurement result.To make use of the advantage of Rough sets in uncertain data processing and according to the Rough sets theory idea,some pretreatment steps,such as obtaining decision table from the known measurement data,completing decision table and diseretization,should be carried out.And then after reducing the attributes and extracting the classification rule,the measurement data are classified and the abnormal data are eliminated.The experimental result shows that this method is more objective, accurate and reliable than usual method of finding abnormal data.