Hypersphere Neighborhood Rough Set for Rapid Attribute Reduction
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-05936-0_13
Reference19 articles.
1. Dai, J., Hu, H., Wu, W., Qian, Y., Huang, D.: Maximal-discernibility-pair-based approach to attribute reduction in fuzzy rough sets. IEEE Trans. Fuzzy Syst. 26(4), 2174–2187 (2018)
2. Dubois, D., Prade, H.: Rough fuzzy sets and fuzzy rough sets. Int. J. Gen Syst 17(2–3), 191–209 (1990)
3. Fang, Y., Min, F.: Cost-sensitive approximate attribute reduction with three-way decisions. Int. J. Approximate Reason. 104, 148–165 (2019)
4. Hu, Q., Yu, D., Liu, J., Wu, C.: Neighborhood rough set based heterogeneous feature subset selection. Inf. Sci. 178(18), 3577–3594 (2008)
5. Hu, Q., Yu, D., Xie, Z.: Numerical attribute reduction based on neighborhood granulation and rough approximation. J. Softw. 19(3), 640–649 (2008)
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