International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
323 Data Complementation Method and Application for Incomplete Information System Based on Rough Sets
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- Ris (Zotero)
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Decision-making process usually requires enough information to support, but information collection process is affected by various uncertain factors, and therefore, some incomplete data is very necessary to be processed before they are using for the decision-making. Based on the rough set theory, some data processing methods for the incomplete information system are analyzed in detail. Mainly, a data complement method based on ROUSTIDA algorithm is built to process the incomplete data, as an example, the UCI database of Iris data set is put into application, and the application results show that the method has good rationality.