Abstract
It has been pointed out that there exists an intriguing relationship between propositional modal logic and rough sets [8, 2]. In this paper, we use first order modal logic (FOML) to formulate a common framework for rough sets, databases, and Bayesian networks. The relational view of the semantics of first order modal logic provides a unified interpretation of many related concepts.
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© 2003 Springer-Verlag Berlin Heidelberg
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Wong, S.K.M., Wu, D. (2003). A Common Framework for Rough Sets, Databases, and Bayesian Networks. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_12
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DOI: https://doi.org/10.1007/3-540-39205-X_12
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