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
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