The current feature selection algorithms based on the neighborhood rough set(NRS) model are unable to evaluate numerical dataset directly,a discretization procedure becomes necessary to transform the datasets into discrete forms,but inevitably leads to useful decision information loss.To solve this difficulty,a feature selection algorithm based on the neighborhood effective information rate is proposed.In view point of granulated neighborhood,the relation between the decision discernibility and the decision...
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