Abstract
In this paper, element equivalence class with dynamic characteristic is introduced into Z.Pawlak rough sets, and it is extended to singular rough sets, singular rough sets has dynamic characteristics. By using of singular rough sets, this paper presents a method for updating approximations of a set, such method can support incremental updating of approximations, which is essential to dealing with dynamic attribute generalization, results in this paper can be applied to rough classification efficiently from very large data bases.
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Hu, Hq., Fu, Hy., Shi, Kq. (2009). Singular Rough Sets Method in Attribute Generalization. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_78
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DOI: https://doi.org/10.1007/978-3-540-88914-4_78
Publisher Name: Springer, Berlin, Heidelberg
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