Categorical Structures in Rough Set Theory and Information Systems

Using the concept of category, we provide some insight into and prove an intrinsic property of the category AprS of approximation spaces and continuous functions. We also introduce rough closure and rough interior operators to characterize clopen topologies. Our main result proves the equivalence of several categories, including the category of equivalence relations and relation-preserving functions, the category of rough interior spaces and continuous functions, the category of rough closure spaces and continuous functions, and the category AprS. This work provides a deeper understanding of the interplay among rough set theory, information systems, and category theory.

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Publication Details

Journal
Mathematics
Published
2026-01-22
DOI
https://doi.org/10.3390/math14020369
Primary Topic
Rough Sets and Fuzzy Logic
Type
article
Field-Weighted Citation Impact
0.00

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article

Categorical Structures in Rough Set Theory and Information Systems

Churn‐Jung Liau, En-Bing Lin, Yu-Ru Syau
Mathematics
Rough Sets and Fuzzy Logic
article

Categorical Structures in Rough Set Theory and Information Systems

Churn‐Jung Liau, En-Bing Lin, Yu-Ru Syau
article en

Abstract

Using the concept of category, we provide some insight into and prove an intrinsic property of the category AprS of approximation spaces and continuous functions. We also introduce rough closure and rough interior operators to characterize clopen topologies. Our main result proves the equivalence of several categories, including the category of equivalence relations and relation-preserving functions, the category of rough interior spaces and continuous functions, the category of rough closure spaces and continuous functions, and the category AprS. This work provides a deeper understanding of the interplay among rough set theory, information systems, and category theory.

MathematicsVol. 14(2)
Wentworth Institute of Technology (US), National Formosa University (TW), Institute of Information Science, Academia Sinica (TW)
National Science and Technology Council
Reduced inequalities
Openalex Percentile: Top 77%
Rough Sets and Fuzzy Logic
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