Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/17298
Title: A Semantics for Modal Language Using a Rough Set Model Based on Subset Approximation Structure
Authors: Khan, Md Aquil
Ranjan
Keywords: approximation operator;axiomatization;invariance;modal logic;rough set theory
Issue Date: 2025
Publisher: Association for Computing Machinery
Citation: Khan, 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/10.1145/3750045
Abstract: Motivated 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).
URI: https://dx.doi.org/10.1145/3750045
https://dspace.iiti.ac.in:8080/jspui/handle/123456789/17298
ISSN: 1529-3785
1557-945X
Type of Material: Journal Article
Appears in Collections:Department of Mathematics

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