Statistical Soft Wijsman Convergence

The concept of convergence is a fundamental tool for building or understanding a mathematical structure. In particular, many applied areas of mathematics require the analysis of sets or set-based approximations. A notable example is Wijsman convergence, a type of set convergence defined as the dista...

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Main Author: Erdal Bayram
Format: Article
Language:English
Published: Sakarya University 2024-12-01
Series:Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
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Online Access:https://dergipark.org.tr/en/download/article-file/4333276
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author Erdal Bayram
author_facet Erdal Bayram
author_sort Erdal Bayram
collection DOAJ
description The concept of convergence is a fundamental tool for building or understanding a mathematical structure. In particular, many applied areas of mathematics require the analysis of sets or set-based approximations. A notable example is Wijsman convergence, a type of set convergence defined as the distance from a point to a set as determined by a metric function. Another important concept in our study is soft set theory, which generalizes classical set theory and provides an effective approach to addressing uncertainties in a parametric manner. Building on this foundation, we introduce the concepts of statistical and lacunary statistical convergence in the sense of Wijsman for sequences of closed sets within the framework of soft metric spaces. We establish fundamental properties associated with these types of convergence and explore their interrelationships, resulting in several inclusion results. Furthermore, we utilize a generalized version of the natural density function, referred to as the ϕ-weighted density function, to strengthen our findings.
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issn 2147-835X
language English
publishDate 2024-12-01
publisher Sakarya University
record_format Article
series Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
spelling doaj-art-4dcd61d807174552a91d6d87c999c58e2025-08-20T03:16:31ZengSakarya UniversitySakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi2147-835X2024-12-012861342135110.16984/saufenbilder.157781228Statistical Soft Wijsman ConvergenceErdal Bayram0https://orcid.org/0000-0001-8488-359XTekirdağ Namık Kemal ÜniversitesiThe concept of convergence is a fundamental tool for building or understanding a mathematical structure. In particular, many applied areas of mathematics require the analysis of sets or set-based approximations. A notable example is Wijsman convergence, a type of set convergence defined as the distance from a point to a set as determined by a metric function. Another important concept in our study is soft set theory, which generalizes classical set theory and provides an effective approach to addressing uncertainties in a parametric manner. Building on this foundation, we introduce the concepts of statistical and lacunary statistical convergence in the sense of Wijsman for sequences of closed sets within the framework of soft metric spaces. We establish fundamental properties associated with these types of convergence and explore their interrelationships, resulting in several inclusion results. Furthermore, we utilize a generalized version of the natural density function, referred to as the ϕ-weighted density function, to strengthen our findings.https://dergipark.org.tr/en/download/article-file/4333276soft setsoft metricwijsman convergencestatistical convergence
spellingShingle Erdal Bayram
Statistical Soft Wijsman Convergence
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
soft set
soft metric
wijsman convergence
statistical convergence
title Statistical Soft Wijsman Convergence
title_full Statistical Soft Wijsman Convergence
title_fullStr Statistical Soft Wijsman Convergence
title_full_unstemmed Statistical Soft Wijsman Convergence
title_short Statistical Soft Wijsman Convergence
title_sort statistical soft wijsman convergence
topic soft set
soft metric
wijsman convergence
statistical convergence
url https://dergipark.org.tr/en/download/article-file/4333276
work_keys_str_mv AT erdalbayram statisticalsoftwijsmanconvergence