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
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