Research on Rough Sets under Incomplete Information System
粗糙集理论中新的针对不完备信息系统的处理方法研究

In order to process incomplete information systems in Rough sets, a novel method based on discrepancy relation and data partial supplement is introduced. This paper analyzes current typical methods, defines the discrepancy relation, extends the discrepancy matrix, proves the feasibility of using discrepancy relation to reduce redundant attributes and provides corresponding algorithms. Besides, uses a new method of data partial supplement to obtain latent data to provide more accurate information for next step of extracting decision rules. The experiment results show that the new method can get best performance evaluation.