Abstract
In this paper, six types of optimistic multi-covering rough set models and six types of pessimistic multi-covering rough set models are proposed in multi-covering approximation space. From three different points of views, relationships among multi-covering rough set models are deeply investigated. They are relationships among optimistic multi-covering rough set models, relationships among pessimistic multi-covering rough set models, and relationships among optimistic and pessimistic multi-covering rough set models. The obtained results provide a theoretical foundation for the further discussions of multi-covering rough sets.
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Wang, L., Yang, X., Wu, C. (2013). Multi-covering Based Rough Set Model. In: Ciucci, D., Inuiguchi, M., Yao, Y., Ślęzak, D., Wang, G. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2013. Lecture Notes in Computer Science(), vol 8170. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41218-9_25
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DOI: https://doi.org/10.1007/978-3-642-41218-9_25
Publisher Name: Springer, Berlin, Heidelberg
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