THERMAL SCIENCE

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M. A. El Safty

ROUGH TOPOLOGICAL STRUCTURE FOR INFORMATION-BASED REDUCTION FOR CHEMICAL APPLICATION

ABSTRACT
In this study, digital information is regarded as fundamental to scientific growth and human knowledge. One of the challenges that scientists face is the enormous amount of digital information that exists nowadays. The rough is a significant topological strategy for reducing knowledge and arriving at decision rules. Furthermore, the research proposed a new methodology to reduce digital information uncertainty. This was clarified by the application provided in this study. In upcoming years, according to certain topological research, we see that it benefits all branches of science. For example, in electricity networks, pharmaceutical factories, patient treatment, and so on.
KEYWORDS
rough set, knowledge reduction, topological space, decision making, neighborhoods
PAPER SUBMITTED: 2024-06-17
PAPER REVISED: 2024-10-14
PAPER ACCEPTED: 2024-10-31
PUBLISHED ONLINE: 2025-01-25
DOI REFERENCE: https://doi.org/10.2298/TSCI2406917S
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2024, VOLUME 28, ISSUE Issue 6, PAGES [4917 - 4926]
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Rough topological structure for information-based reduction for chemical application

2025 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence