Statistical convergence of complex uncertain sequences defined by Orlicz function
Author
Nath, Pankaj Kumar
Tripathy, Binod Chandra
Abstract
Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities. This paper introduces the statistical convergence concepts of complex uncertain sequences: statistical convergence almost surely(a.s.), statistical convergence in measure, statistical convergence in mean, statistical convergence in distribution and statistical convergence uniformly almost surely sequences of complex uncertain sequences defined by Orlicz function. In addition, Decomposition Theorems and relationships among them are discussed.
Metadata
Show full item recordRelated items
Showing items related by title, author, creator and subject.
-
On Triple sequence space of Bernstein operator of Rough I- convergence pre-cauchy sequences.
Esi, Ayhan; Subramanian, N.; Esi, Ayten. Proyecciones. Journal of Mathematics; Vol 36 No 4 (2017); 567-587 -
On rough convergence of triple sequence spaces of Bernstein-Stancu operators of fuzzy numbers defined by a metric function.
Bharathi, M. Jeyaram; Velmurugan, S.; Esi, A.; Subramanian, N.. Proyecciones. Journal of Mathematics; Vol 37 No 4 (2018); 713-730 -
Matrix transformation on statistically convergent sequence spaces of interval number sequences
Debnath, Shyamal; Saha, Subrata. Proyecciones. Journal of Mathematics; Vol 35 No 2 (2016); 187-195