On rough I-statistical convergence of complex uncertain sequences

Authors

Keywords:

Uncertainty theory;, complex uncertain variable, rough I-convergence, rough I-statistical convergence.

Abstract

In this paper, we introduce the notion of rough $\mathcal{I}$-statistical convergence of complex uncertain sequences in four aspects of uncertainty, viz., almost surely, measure, mean, distribution as an extension of rough convergence, rough statistical convergence, and rough $\mathcal{I}$-convergence of complex uncertain sequences. Also, we explore the concept of rough $\mathcal{I}$-statistical convergence in $p$-distance, and rough ${\mathcal{I}}$-statistical convergence in metric of complex uncertain sequences. Overall, this study mainly presents a diagrammatic scenario of interrelationships among all rough $\mathcal{I}$-statistical convergence concepts of complex uncertain sequences and include some observations about the above convergence concepts.

Author Biography

Amit Halder, Tripura University

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Published

2025-09-28

How to Cite

Debnath, S., & Halder, A. (2025). On rough I-statistical convergence of complex uncertain sequences. International Journal of Maps in Mathematics, 8(2), 346–359. Retrieved from https://simadp.com/journalmim/article/view/208