On I-Statistical Convergence of Complex Uncertain Sequence

Amit Halder, S. Debnath, Ayhan Esi

Abstract


he concept of I-statistical convergence almost surely of complex uncertain sequences was introduced by Halder and Debnath, which is a very recent and new approach in complex uncertainty theory. Based on that technique, in this article, we introduced the concept of I-statistical convergence in mean, distribution, uniformly almost surely of complex uncertain sequence. Also, we explore the concept of I-statistical convergence in p-distance, completely I-statistical convergence, and I-statistical convergence in metric of complex uncertain sequences. Overall, this study mainly presents a complete diagrammatic scenario of interrelationships among all I-statistical convergence concepts of complex uncertain sequences and include some observations about the above convergence concepts.

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