Topological methodologies for generalized multi-granulation | ||
| Bulletin of Faculty of Science, Zagazig University | ||
| Article 13, Volume 2024, Issue 4, January 2025, Pages 136-146 PDF (1.07 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/bfszu.2024.287533.1387 | ||
| Authors | ||
| Amany Ahmed Abdien* 1; Rodyna A Hosny1; Mohamed Abd Elaziz2 | ||
| 1Department of Mathematics , Faculty of Science, Zagazig University | ||
| 2Faculty of Computer Science and Engineering, Galala University, Suez 435611, Egypt Department of Mathematics, Faculty of Science, Zagazig University, Zagazig 44519, Egypt | ||
| Abstract | ||
| In this article article, topological methodologies to extend the scope of multi-granular rough sets through the utilization of families of binary relations are proposed. The construction of a multi-topological spaces derived from multi-relations are formulated, with an aim to improve interiors and minimize closures. Also, this article discusses the properties of these new methodologies. Comparisons among the proposed definitions and previous study in published issues are thoughtfully examined. Specifically, the concept of topological membership function with respect to the j-neighborhoods of m-topologies, which integrates the principles of rough and fuzzy sets, are introduced. Our findings suggests that the generated topology from multi-granulation provides measurement of accuracy that is more precise than convential topologlical methods. Finally, the current article presented an optimization for the rough set theory to be valid to be applicable in different areas of life such as medical, industrial, engineering and facilitate sharing huge data as well as hybridization with the computer science. | ||
| Keywords | ||
| Topological operators; Nj-neighborhood systems; Multi-granulation; Rough sets; Membership function | ||
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