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A Formal Study of a Generalized Rough Set Model Based on Relative Approximations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018) 11103 LNAI 502-510
DOI: 10.1007/978-3-319-99368-3_39
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Abstract

We propose a generalization of the rough set model where approximation operators are defined relative to a given collection of subsets of the domain of objects. A modal logic with semantics based on relative accessibility relations is also proposed, that can be used to reason about the proposed approximations.

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Khan, M. A., & Patel, V. S. (2018). A Formal Study of a Generalized Rough Set Model Based on Relative Approximations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11103 LNAI, pp. 502–510). Springer Verlag. https://doi.org/10.1007/978-3-319-99368-3_39

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