Soft rough fuzzy sets based on covering

Soft rough fuzzy sets ($ \mathcal SRFSs $) represent a powerful paradigm that integrates soft computing, rough set theory, and fuzzy logic. This research aimed to comprehensively investigate the various dimensions of $ \mathcal SRFSs $ within the domain of approximation structures. The study encompa...

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Main Authors: R. Mareay, Radwan Abu-Gdairi, M. Badr
Format: Article
Language:English
Published: AIMS Press 2024-03-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024548?viewType=HTML
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author R. Mareay
Radwan Abu-Gdairi
M. Badr
author_facet R. Mareay
Radwan Abu-Gdairi
M. Badr
author_sort R. Mareay
collection DOAJ
description Soft rough fuzzy sets ($ \mathcal SRFSs $) represent a powerful paradigm that integrates soft computing, rough set theory, and fuzzy logic. This research aimed to comprehensively investigate the various dimensions of $ \mathcal SRFSs $ within the domain of approximation structures. The study encompassed a wide spectrum of concepts, ranging from covering approximation structures and soft rough coverings to soft neighborhoods, fuzzy covering approximation operators, and soft fuzzy covering approximation operators. We introduced three models of $ \mathcal SRFSs $ based on covering via the core of soft neighborhood. We discussed and analyzed our models' characteristics and properties. The relations between our models for soft fuzzy covering sets and Zhan's model for soft rough fuzzy covering were presented.
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spelling doaj.art-d9973fa564c0439d990e45b4551a5aaf2024-04-08T01:19:51ZengAIMS PressAIMS Mathematics2473-69882024-03-0195111801119310.3934/math.2024548Soft rough fuzzy sets based on coveringR. Mareay 0Radwan Abu-Gdairi 1M. Badr21. Department of Mathematics, Faculty of Science, Kafrelsheikh University, Kafrelsheikh 33516, Egypt; Email: roshdeymareay@sci.kfs.edu.eg2. Department of Mathematics, Faculty of Science, Zarqa University, Zarqa 13132, Jordan; Email: rgdairi@zu.edu.jo3. Department of Mathematics, Faculty of Science, New Valley University, Egypt; Email: m.shaban@sci.nvu.edu.egSoft rough fuzzy sets ($ \mathcal SRFSs $) represent a powerful paradigm that integrates soft computing, rough set theory, and fuzzy logic. This research aimed to comprehensively investigate the various dimensions of $ \mathcal SRFSs $ within the domain of approximation structures. The study encompassed a wide spectrum of concepts, ranging from covering approximation structures and soft rough coverings to soft neighborhoods, fuzzy covering approximation operators, and soft fuzzy covering approximation operators. We introduced three models of $ \mathcal SRFSs $ based on covering via the core of soft neighborhood. We discussed and analyzed our models' characteristics and properties. The relations between our models for soft fuzzy covering sets and Zhan's model for soft rough fuzzy covering were presented.https://www.aimspress.com/article/doi/10.3934/math.2024548?viewType=HTMLcore soft neighborhoodsoft roughcoveringfuzzy logicmathematical modeling
spellingShingle R. Mareay
Radwan Abu-Gdairi
M. Badr
Soft rough fuzzy sets based on covering
AIMS Mathematics
core soft neighborhood
soft rough
covering
fuzzy logic
mathematical modeling
title Soft rough fuzzy sets based on covering
title_full Soft rough fuzzy sets based on covering
title_fullStr Soft rough fuzzy sets based on covering
title_full_unstemmed Soft rough fuzzy sets based on covering
title_short Soft rough fuzzy sets based on covering
title_sort soft rough fuzzy sets based on covering
topic core soft neighborhood
soft rough
covering
fuzzy logic
mathematical modeling
url https://www.aimspress.com/article/doi/10.3934/math.2024548?viewType=HTML
work_keys_str_mv AT rmareay softroughfuzzysetsbasedoncovering
AT radwanabugdairi softroughfuzzysetsbasedoncovering
AT mbadr softroughfuzzysetsbasedoncovering