Results 271 to 280 of about 5,429,485 (293)

Attribute reduction based on k-nearest neighborhood rough sets

International Journal of Approximate Reasoning, 2019
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Changzhong Wang, Yunpeng Shi, Xiaodong Fan, Mingwen Shao   +3 more
openaire   +2 more sources

NEIGHBORHOOD SYSTEM BASED ROUGH SET: MODELS AND ATTRIBUTE REDUCTIONS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2012
The neighborhood system based rough set is a generalization of Pawlak's rough set model since the former uses the neighborhood system instead of the partition for constructing target approximation. In this paper, the neighborhood system based rough set approach is employed to deal with the incomplete information system. By the coverings induced by the
Xibei Yang, Zehua Chen, Huili Dou, Ming Zhang 0033, Jingyu Yang 0001   +4 more
openaire   +3 more sources

Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning

2013
We introduce neighborhoods of samples to granulate the universe and use the neighborhood granules to approximate classification, thus they derived a model of neighborhood rough sets. Some machine learning algorithms, including boundary sample selection, feature selection and rule extraction, were developed based on the model.
Qinghua Hu, Leijun Li, Pengfei Zhu
openaire   +1 more source

GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set

IEEE Transactions on Neural Networks and Learning Systems
Pawlak 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, Cheng Wang 0050, Guoyin Wang 0001, Xinbo Gao 0001, Weiping Ding 0001, JianHang Yu, Yujia Zhai, Zizhong Chen   +7 more
openaire   +2 more sources

A Framework for Feature Construction Based on Neighborhood Rough Set

2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2021
Yang Chen, Xin Yang 0012, Jiani Zheng, Wei Wang 0336   +3 more
openaire   +1 more source

Comparison of twelve types of rough approximations based on j-neighborhood space and j-adhesion neighborhood space

Soft Computing, 2021
Ahmed Mostafa Khalil, Mohammed Atef, Abd El Fattah El Atik   +2 more
exaly  

Neighborhood rough sets with distance metric learning for feature selection

Knowledge-Based Systems, 2021
Tianrui Li, Hongmei Chen, Jihong Wan
exaly  

A novel approach to attribute reduction based on weighted neighborhood rough sets

Knowledge-Based Systems, 2021
Weihua Xu, Degang Chen, Eric C C Tsang
exaly  

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets

IEEE Transactions on Fuzzy Systems, 2021
Yuhua Qian, Weiping Ding, Lanyingying Wang   +2 more
exaly  

A soft neighborhood rough set model and its applications

Information Sciences, 2023
Changzhong Wang, Shuang An
exaly