Zhaowen Li

Attribute Reduction for Incomplete Hybrid Data Based on Generalized Granular-Ball Neighborhood Rough Set and Overlap Degree Function

As an effective mathematical framework for modeling fuzziness, inaccuracy, and uncertainty, neighborhood rough sets have been widely applied to attribute reduction and other data mining tasks. Existing neighborhood rough set methods generally rely on fixed neighborhood parameters to construct neighborhoods, which m...

Multi-scale fuzzy information discovery: a novel approach to unsupervised attribute reduction