Uncertainty Optimization Based Rough Set and its Applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40819-023-01490-x.pdf
Reference48 articles.
1. Bazan, J.G., Szczuka, M.: The rough set exploration system. In: Transactions on Rough Sets III, pp. 37–56. Springer, Berlin (2005). https://doi.org/10.1007/11427834_2
2. Bazan, J.G., Nguyen, H.S., Nguyen, S.H., et al.: Rough set algorithms in classification problem. In: Rough Set Methods and Applications, pp. 49–88. Springer, Berlin (2000). https://doi.org/10.1007/978-3-7908-1840-6_3
3. Benitez-Caballero, M.J., Medina, J., Ramirez-Poussa, E., et al.: Bireducts with tolerance relations. Inf. Sci. 435, 26–39 (2018). https://doi.org/10.1016/j.ins.2017.12.037
4. Cekik, R., Uysal, A.K.: A novel filter feature selection method using rough set for short text data. Expert Syst. Appl. 160(113), 691 (2020). https://doi.org/10.1016/j.eswa.2020.113691
5. Chaplick, S., Halldórsson, M.M., de Lima, M.S., et al.: Query minimization under stochastic uncertainty. In: Latin American Symposium on Theoretical Informatics, pp 181–193. Springer, Berlin (2021). https://doi.org/10.1007/978-3-030-61792-9_15
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