Rough Ideal Statistical Convergence via Generalized Difference Operators Intuitionistic Fuzzy Normed Spaces

Authors

  • Manpreet Kaur Chandigarh University, Mohali
  • Dr.Meenakshi Chawla Chandigarh University, Gharuan (Mohali), PUNJAB,INDIA
  • Dr. Reena Antal Chandigarh University, Mohali

Keywords:

Ideal statistical convergence, Rough ideal statistical convergence, Intuitionistic fuzzy normed space, Difference Sequence

Abstract

This study focuses on investigating the concept of rough ideal statistical convergence for generalized difference sequences in intuitionistic fuzzy normed spaces. We studied the algebraic and topological properties of rough ideal statistical limit points for generalized difference sequence. Apart from this, we also investigated rough ideal statistical cluster points, the relation between rough I-statistical limit points and rough I-statistical cluster points for generalized differnece sequence in intuitionistic fuzzy normed spaces.

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Published

24-04-2024

How to Cite

Kaur, M., Chawla, D., & Antal, D. R. (2024). Rough Ideal Statistical Convergence via Generalized Difference Operators Intuitionistic Fuzzy Normed Spaces. Communications in Mathematics and Applications, 15(1). Retrieved from http://www.rgnpublications.com/journals/index.php/cma/article/view/2423

Issue

Vol. 15 No. 1 (2024)

Section

Research Article

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