New Best Proximity Point Results via Simulation Functions in Fuzzy Metric Spaces

Authors

  • Abdelhamid Moussaoui Laboratory of Applied Mathematics \& Scientific Computing LMACS, Faculty of Sciences and Technics, Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal, Morocco https://orcid.org/0000-0003-4897-1132
  • Choonkil Park Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Korea
  • Said Melliani Laboratory of Applied Mathematics \& Scientific Computing LMACS, Faculty of Sciences and Technics, Sultan Moulay Slimane University, PO Box 523, 23000 Beni Mellal, Morocco

DOI:

https://doi.org/10.5269/bspm.65506

Abstract

In this paper, we introduce the concepts of $\mathcal{FZ}$-proximal contraction of type$-$I and type-II and prove some $g-$best proximity point results involving $\mathcal{FZ}$-simulation functions under suitable conditions on the framework of fuzzy metric spaces. Our results unify, generalize, and improve a lot of solid papers in the same context and may lay the groundwork for new directions of best proximity and fuzzy fixed point theory. Also, an example is given to support the theoretical results.

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Published

2025-01-27

Issue

Vol. 43 (2025)

Section

Research Articles

License

When the manuscript is accepted for publication, the authors agree automatically to transfer the copyright to the (SPM).

The journal utilize the Creative Common Attribution (CC-BY 4.0).

 

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