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GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set
IEEE Transactions on Neural Networks and Learning SystemsPawlak rough set (PRS) and neighborhood rough set (NRS) are the two most common rough set theoretical models. Although the PRS can use equivalence classes to represent knowledge, it is unable to process continuous data. On the other hand, NRSs, which can process continuous data, rather lose the ability of using equivalence classes to represent ...
Shuyin Xia +7 more
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A Framework for Feature Construction Based on Neighborhood Rough Set
2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2021Yang Chen +3 more
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A novel approach to attribute reduction based on weighted neighborhood rough sets
Knowledge-Based Systems, 2021Weihua Xu, Degang Chen, Eric C C Tsang
exaly
Neighborhood rough sets with distance metric learning for feature selection
Knowledge-Based Systems, 2021Tianrui Li, Hongmei Chen, Jihong Wan
exaly
A soft neighborhood rough set model and its applications
Information Sciences, 2023Changzhong Wang, Shuang An
exaly
GBRS: An Unified Model of Pawlak Rough Set and Neighborhood Rough Set.
CoRR, 2022Shuyin Xia +5 more
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Relational interpretations of neighborhood operators and rough set approximation operators
Information Sciences, 1998Y Y Yao
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Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction
2022Yu Fang 0009 +3 more
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