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Situation Index Extraction Algorithm Based on Improved Discernibility Matrix and Expert Knowledge
Pages: 907-914
Year: Issue:  10
Journal: Pattern Recognition and Artificial Intelligence

Keyword:  Rough SetAttribute ReductionDiscernibility MatrixSituation IndexNetwork Security;
Abstract: Aiming at the problems of difficult and inefficient sample index extraction in the general reduction algorithm,rough set theory is introduced to extract situation index. The decision table information is reduced based on the discernibility matrix compression and classified selection,and the index selection is adjusted by combining the importance measure of the export knowledge. Meanwhile,a situation index extraction algorithm based on improved discernibility matrix and expert knowledge is proposed. It is analyzed and verified in the example of situation index system. Experimental results show that theproposed algorithm has good effect on the situation index reduction,and the extracted indexes are rational in the network security assessment. It provides a feasible solution for extracting the situation index.
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