Tree Expressions for Information Systems
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Abstract
The discernibility matrix is one of the most important approaches tocomputing positive region, reduct, core and value reduct in rough sets.The subject of this paper is to develop a parallel approach of it,called tree expression. Its computational complexity forpositive region and reduct is O(m^2\tm n) instead of O(m\tm n^2) indiscernibility-matrix-based approach, and is not over O(n^2) forother concepts in rough sets, where m and n are the numbers ofattributes and objects respectively in a given dataset (also called an``\it information system'' in rough sets). This approach suitsinformation systems with n\gg m and containing over one million objects.
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