Fuzzy Z-proximal contraction in strong fuzzy metric spaces

In this note, we define two distinct categories of fuzzy Z-proximal contractions and we use these two fuzzy Z-proximal contractive inequalities as a tool to obtain best proximity point for a non-self mapping which is defined between two distinct non-empty subsets of a strong fuzzy metric space. Further, prove some proximity theorems by using these categories of fuzzy Z-proximal in a complete strong fuzzy metric space. For the support of these innovative results we produce a few validation of examples. At last, we provide a solution of a non-linear second-order ordinary differential equation with the help of fuzzy Z-proximal contractive inequality provided that assumed space is strong fuzzy metric space.

Authors

Institutions

Publication Details

Journal
Filomat
Published
2025-01-01
DOI
https://doi.org/10.2298/fil2501197p
Citations
2
Primary Topic
Fixed Point Theorems Analysis
Type
article
Field-Weighted Citation Impact
8.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fuzzy Z-proximal contraction in strong fuzzy metric spaces

Stojan Radenović, Uma Devi Patel, Vineeta Chandra
2 citations
Filomat
Fixed Point Theorems Analysis
8.18
article

Fuzzy Z-proximal contraction in strong fuzzy metric spaces

Stojan Radenović, Uma Devi Patel, Vineeta Chandra
article en
2 citations

Abstract

In this note, we define two distinct categories of fuzzy Z-proximal contractions and we use these two fuzzy Z-proximal contractive inequalities as a tool to obtain best proximity point for a non-self mapping which is defined between two distinct non-empty subsets of a strong fuzzy metric space. Further, prove some proximity theorems by using these categories of fuzzy Z-proximal in a complete strong fuzzy metric space. For the support of these innovative results we produce a few validation of examples. At last, we provide a solution of a non-linear second-order ordinary differential equation with the help of fuzzy Z-proximal contractive inequality provided that assumed space is strong fuzzy metric space.

FilomatVol. 39(1)
Guru Ghasidas Vishwavidyalaya (IN), University of Belgrade (RS)
Openalex Percentile: Top 3%
Fixed Point Theorems Analysis
8.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.