Attribute Reduction and Information Granularity
Li-hong Wang, Geng-feng Wu
In the view of granularity, this paper analyzes the influence of three attribute reducts on an information system, finding that the possible reduct and m - decision reduct will make the granule view coarser, while discernible reduct will not change the granule view. In addition, we investigate the combination of reducts from two partial information systems in parallel or in incremental data mining and urge that the union of partial possible reducts can be regarded as a possible reduct for union of partial information systems. Full Text
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