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This paper proposes a robust method of dimension reduction using fuzzy rough sets, in which the reduction results can reflect the reducts obtained on all of the possible parameters. Here, the reducts being obtained on all of the possible parameters mean that all of the reducts are obtained on different degrees of robustness to handle noise. This method is completely different from the existing methods...
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