New Types of μ-Proximity Spaces and Their Applications

Near set theory supplies a major basis for the perception, differentiation, and classification of elements in classes that depend on their closeness, either spatially or descriptively. This study aims to introduce a lot of concepts; one of them is μ-clusters as the useful notion in the study of μ-pr...

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Main Authors: Rodyna A. Hosny, Tareq M. Al-shami, Abdelwaheb Mhemdi
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/1657993
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author Rodyna A. Hosny
Tareq M. Al-shami
Abdelwaheb Mhemdi
author_facet Rodyna A. Hosny
Tareq M. Al-shami
Abdelwaheb Mhemdi
author_sort Rodyna A. Hosny
collection DOAJ
description Near set theory supplies a major basis for the perception, differentiation, and classification of elements in classes that depend on their closeness, either spatially or descriptively. This study aims to introduce a lot of concepts; one of them is μ-clusters as the useful notion in the study of μ-proximity (or μ-nearness) spaces which recognize some of its features. Also, other types of μ-proximity, termed Rμ-proximity and Oμ-proximity, on X are defined. In a μ-proximity space X,δμ, for any subset K of X, one can find out nonempty collections δμK=G⊆X∣Kδ¯μG, which are hereditary classes on X. Currently, descriptive near sets were presented as a tool of solving classification and pattern recognition problems emerging from disjoint sets; hence, a new approach to basic μ-proximity structures, which depend on the realization of the structures in the theory of hereditary classes, is introduced. Also, regarding to specific options of hereditary class operators, various kinds of μ-proximities can be distinguished.
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series Journal of Mathematics
spelling doaj-art-cac4c9cfd6134af0b2d92fedb930c2122025-02-03T01:08:57ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/1657993New Types of μ-Proximity Spaces and Their ApplicationsRodyna A. Hosny0Tareq M. Al-shami1Abdelwaheb Mhemdi2Department of MathematicsDepartment of MathematicsDepartment of MathematicsNear set theory supplies a major basis for the perception, differentiation, and classification of elements in classes that depend on their closeness, either spatially or descriptively. This study aims to introduce a lot of concepts; one of them is μ-clusters as the useful notion in the study of μ-proximity (or μ-nearness) spaces which recognize some of its features. Also, other types of μ-proximity, termed Rμ-proximity and Oμ-proximity, on X are defined. In a μ-proximity space X,δμ, for any subset K of X, one can find out nonempty collections δμK=G⊆X∣Kδ¯μG, which are hereditary classes on X. Currently, descriptive near sets were presented as a tool of solving classification and pattern recognition problems emerging from disjoint sets; hence, a new approach to basic μ-proximity structures, which depend on the realization of the structures in the theory of hereditary classes, is introduced. Also, regarding to specific options of hereditary class operators, various kinds of μ-proximities can be distinguished.http://dx.doi.org/10.1155/2022/1657993
spellingShingle Rodyna A. Hosny
Tareq M. Al-shami
Abdelwaheb Mhemdi
New Types of μ-Proximity Spaces and Their Applications
Journal of Mathematics
title New Types of μ-Proximity Spaces and Their Applications
title_full New Types of μ-Proximity Spaces and Their Applications
title_fullStr New Types of μ-Proximity Spaces and Their Applications
title_full_unstemmed New Types of μ-Proximity Spaces and Their Applications
title_short New Types of μ-Proximity Spaces and Their Applications
title_sort new types of μ proximity spaces and their applications
url http://dx.doi.org/10.1155/2022/1657993
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