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ALGORITHM OF FEATURE SELECTION FOR INCONSISTENT DATA PREPROCESSING BASED ROUGH SET

Bo Wang,Kening Gao,Bin Zhang-2005-01-01
6

TL;DRAbstract

Abstract. The inconsistency of information about objects may be the greatest obstacle to performing inductive learning from examples. Rough sets theory provides a new mathematical tool to deal with uncertainty and vagueness. Based on rough sets theory and decision table, the paper introduced the devel-opment process and basic features of Rough Sets, as well as its application in data mining. In addition, a kind of rough set feature selection algorithm about preprocessing of inconsistent data is put forward.

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Abstract. The inconsistency of information about objects may be the greatest obstacle to performing inductive learning from examples. Rough sets theory provides a new mathematical tool to deal with uncertainty and vagueness. Based on rough sets theory and decision table, the paper introduced the devel-opment process and basic features of Rough Sets, as well as its application in data mining. In addition, a kind of rough set feature selection algorithm about preprocessing of inconsistent data is put forward.

Keywords

Rough setVaguenessDominance-based rough set approachDecision tableData miningPreprocessorArtificial intelligenceComputer science

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