Attribute Reduction with Fuzzy Weighted Neighborhood Rough Sets
Neighborhood rough sets (NRSs) have been widely recognized as an efficient tool for solving attribute reduction problems in numerical data. In constructing neighborhood information granules, many existing extensions introduce weighting mechanisms for conditional attributes to quantify their influence on the decision at...