Strong-I^K-Convergence in Probabilistic Metric Spaces

TL;DR

This paper introduces and studies the concept of strong-I^K-convergence of functions in probabilistic metric spaces, generalizing existing convergence notions and analyzing limit points within this framework.

Contribution

It proposes a new convergence concept, strong-I^K-convergence, extending previous notions like strong-I*-convergence in probabilistic metric spaces.

Findings

Defined strong-I^K-convergence and limit points.

Established properties and relationships of strong-I^K-convergence.

Generalized convergence concepts in probabilistic metric spaces.

Abstract

In this paper we study the idea of strong-I^K-convergence of functions which is common generalization of strong-I*-convergence of functions in probabilistic metric spaces. We also study strong-I^K-limit points of functions in the same space.