• Title of article

    Fuzzy Cumulative Distribution Function and its Properties

  • Author/Authors

    Shams, Mehdi Department of Statistics - Faculty of Mathematical Sciences - University of Kashan , Hesamian, Gholamreza Department of Statistics - Payame Noor University, Tehran, Iran

  • Pages
    10
  • From page
    127
  • To page
    136
  • Abstract
    The statistical methods based on cumulative distribution function is a start point for many parametric or nonparametric statistical inferences. However, there are many practical problems that require dealing with observations/ parameters that represent inherently imprecise. However, Hesamian and Taheri (2013) was extended a concept of fuzzy cumulative distribution function. Applying a common notion of fuzzy random variables, they extended a vague concept of fuzzy cumulative distribution function. However, the main properties of the proposed method has not yet been considered in fuzzy environment. This paper aims to extend the classical properties of the fuzzy cumulative distribution function in fuzzy environment.
  • Keywords
    Cumulative distribution function , fuzzy random variable , fuzzy parameter , ranking method , convergence , divergence to infinity
  • Journal title
    Journal of Algorithms and Computation
  • Serial Year
    2020
  • Record number

    2531823