Statistical convergence of complex uncertain sequences defined by Orlicz function

• Nath, Pankaj Kumar ^[1] ; Tripathy, Binod Chandra ^[2]
  1. [1] Pandit Deendayal Upadhyaya Shekhawati University

     Pandit Deendayal Upadhyaya Shekhawati University

     India

     
  2. [2] Tripura University

     Tripura University

     India

     
• Localización: Proyecciones: Journal of Mathematics, ISSN 0716-0917, ISSN-e 0717-6279, Vol. 39, Nº. 2, 2020, págs. 301-315
• Idioma: inglés
• DOI: 10.22199/issn.0717-6279-2020-02-0019
• Enlaces
  • Texto completo
• Resumen

  • 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.

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