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- W2355360180 abstract "Attribute reduction is one of the most important content of the Rough Set Theory.This paper analyzes attribute reduction for decision table based on discernibility matrix and YE's thought for calculating the core of inconsistent decision tables.As AM-RASR algorithm needs too much storing capacity and doesn't support inconsistent decision tables,and YE's method needs much more computing,this paper presents an improved algorithm.Through revising discernibility collection with conflicting element when scanning data,which can cut down the original algorithm's computing and storing capacity,and can be applied in inconsistent decision tables.Fianlly,through an experiment with UCI data sets,the paper explains the effectiveness of the improved algorithm." @default.
- W2355360180 created "2016-06-24" @default.
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- W2355360180 date "2009-01-01" @default.
- W2355360180 modified "2023-09-28" @default.
- W2355360180 title "An Updated Algorithm for Attribute Reduction Based on Discernibility Matrix" @default.
- W2355360180 hasPublicationYear "2009" @default.
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