Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/17298
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dc.contributor.authorKhan, Md Aquilen_US
dc.contributor.authorRanjanen_US
dc.date.accessioned2025-12-04T10:00:50Z-
dc.date.available2025-12-04T10:00:50Z-
dc.date.issued2025-
dc.identifier.citationKhan, M. A., & Ranjan. (2025). A Semantics for Modal Language Using a Rough Set Model Based on Subset Approximation Structure. ACM Transactions on Computational Logic, 26(4). https://doi.org/10.1145/3750045en_US
dc.identifier.issn1529-3785-
dc.identifier.issn1557-945X-
dc.identifier.otherEID(2-s2.0-105022491431)-
dc.identifier.urihttps://dx.doi.org/10.1145/3750045-
dc.identifier.urihttps://dspace.iiti.ac.in:8080/jspui/handle/123456789/17298-
dc.description.abstractMotivated by rough set theory, we introduce a novel semantics for the basic modal language based on the possibility lower approximation operator of subset approximation structures. The study investigates axiomatization, expressiveness, and invariance results related to this semantics. From a rough set perspective, it provides a formal language for reasoning about the possibility lower approximation operator. Additionally, the axiomatization results obtained here provide characterizing properties of the operator. © 2025 Copyright held by the owner/author(s).en_US
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.sourceACM Transactions on Computational Logicen_US
dc.subjectapproximation operatoren_US
dc.subjectaxiomatizationen_US
dc.subjectinvarianceen_US
dc.subjectmodal logicen_US
dc.subjectrough set theoryen_US
dc.titleA Semantics for Modal Language Using a Rough Set Model Based on Subset Approximation Structureen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Mathematics

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