Abstract
A generalized multi-granulation rough set is proposed in this paper. In the new model, supporting characteristic function is defined and a parameter called information level is introduced to investigate that an object supports a concept precisely under majority granulations. Moreover, some important properties are discussed on the new multi-granulation rough set. And it can be found that the proposed model is more valid than old multiple granulation rough set models and Pawlak rough set model. © 2012 Springer-Verlag.
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CITATION STYLE
Xu, W., Zhang, X., & Wang, Q. (2011). A generalized multi-granulation rough set approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6840 LNBI, pp. 681–689). https://doi.org/10.1007/978-3-642-24553-4_90
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