Decision-making to limit epidemics spread based on fuzzy-soft and topological spaces

Real-world applications process enormous amounts of data, especially in the area of large-dimension features. This work aims to present new classes of functions based on SM*-open sets that are a modification of simply open sets; namely, SM*-continuous, SM*-irresolute, proper continuous, SM*-open, SM...

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Main Authors: Elhadi E. Elamir, M. El Sayed, A.N. Al Qarni, M.A. El Safty
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Alexandria Engineering Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823004076
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author Elhadi E. Elamir
M. El Sayed
A.N. Al Qarni
M.A. El Safty
author_facet Elhadi E. Elamir
M. El Sayed
A.N. Al Qarni
M.A. El Safty
author_sort Elhadi E. Elamir
collection DOAJ
description Real-world applications process enormous amounts of data, especially in the area of large-dimension features. This work aims to present new classes of functions based on SM*-open sets that are a modification of simply open sets; namely, SM*-continuous, SM*-irresolute, proper continuous, SM*-open, SM*-closed, strongly SM*-irresolute, Pre SM*-irresolute, Pre SM*-open, super SM*-open and completely irresolute. The idea of fuzzy soft multifunction between fuzzy soft topological spaces, developed by Metin, is frequently used. Our current research project uses our suggested idea to introduce coronavirus application and infer the most important causal symptoms of coronavirus patients. Furthermore, we created an algorithm to demonstrate the applicability of our proposed technique based on the presented concept. Additionally, the results obtained using MATLAB programming. Finally, realistic WHO-compliant results were achieved for the most serious symptoms of coronavirus patients, as well as a suggested strategy that is competitive. Therefore, decision-making in the future needs to consider our suggestion. In order to promote the long-term wellbeing of both nature and humanity. Our proposed approach is reasonable and effective. The results showed that the methodology we used was reliable as it was consistent with World Health Organization publications.
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spelling doaj.art-189ab6cd9529403c9b9b7a4c558c71242023-06-26T04:13:33ZengElsevierAlexandria Engineering Journal1110-01682023-07-0174725735Decision-making to limit epidemics spread based on fuzzy-soft and topological spacesElhadi E. Elamir0M. El Sayed1A.N. Al Qarni2M.A. El Safty3Department of Mathematics, College of Science and Arts, Najran University, Najran 66445, Saudi ArabiaDepartment of Mathematics, College of Science and Arts, Najran University, Najran 66445, Saudi ArabiaDepartment of Mathematics, Faculty of Science, Bisha University, Bisha, Saudi ArabiaDepartment of Mathematics and Statistics, College of Science, Taif University, P.O. Box11099, Taif 21944, Saudi Arabia; Corresponding author.Real-world applications process enormous amounts of data, especially in the area of large-dimension features. This work aims to present new classes of functions based on SM*-open sets that are a modification of simply open sets; namely, SM*-continuous, SM*-irresolute, proper continuous, SM*-open, SM*-closed, strongly SM*-irresolute, Pre SM*-irresolute, Pre SM*-open, super SM*-open and completely irresolute. The idea of fuzzy soft multifunction between fuzzy soft topological spaces, developed by Metin, is frequently used. Our current research project uses our suggested idea to introduce coronavirus application and infer the most important causal symptoms of coronavirus patients. Furthermore, we created an algorithm to demonstrate the applicability of our proposed technique based on the presented concept. Additionally, the results obtained using MATLAB programming. Finally, realistic WHO-compliant results were achieved for the most serious symptoms of coronavirus patients, as well as a suggested strategy that is competitive. Therefore, decision-making in the future needs to consider our suggestion. In order to promote the long-term wellbeing of both nature and humanity. Our proposed approach is reasonable and effective. The results showed that the methodology we used was reliable as it was consistent with World Health Organization publications.http://www.sciencedirect.com/science/article/pii/S1110016823004076Simply open and closedTypes of continuous functionsA fuzzy soft multifunction's upper inverseCoronavirusDiscovering intelligenceMaking decisions
spellingShingle Elhadi E. Elamir
M. El Sayed
A.N. Al Qarni
M.A. El Safty
Decision-making to limit epidemics spread based on fuzzy-soft and topological spaces
Alexandria Engineering Journal
Simply open and closed
Types of continuous functions
A fuzzy soft multifunction's upper inverse
Coronavirus
Discovering intelligence
Making decisions
title Decision-making to limit epidemics spread based on fuzzy-soft and topological spaces
title_full Decision-making to limit epidemics spread based on fuzzy-soft and topological spaces
title_fullStr Decision-making to limit epidemics spread based on fuzzy-soft and topological spaces
title_full_unstemmed Decision-making to limit epidemics spread based on fuzzy-soft and topological spaces
title_short Decision-making to limit epidemics spread based on fuzzy-soft and topological spaces
title_sort decision making to limit epidemics spread based on fuzzy soft and topological spaces
topic Simply open and closed
Types of continuous functions
A fuzzy soft multifunction's upper inverse
Coronavirus
Discovering intelligence
Making decisions
url http://www.sciencedirect.com/science/article/pii/S1110016823004076
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AT melsayed decisionmakingtolimitepidemicsspreadbasedonfuzzysoftandtopologicalspaces
AT analqarni decisionmakingtolimitepidemicsspreadbasedonfuzzysoftandtopologicalspaces
AT maelsafty decisionmakingtolimitepidemicsspreadbasedonfuzzysoftandtopologicalspaces