In this study, we present different methods of estimating fuzzy reliability of a two-parameter
Rayleigh distribution via the maximum likelihood estimator, median first-order statistics …

This paper deals with comparing three different estimators of fuzzy reliability estimator of one
scale parameter Rayleigh distribution were first of all the one scale parameter Rayleigh is …

Some work has been done in the past on the estimation of reliability characteristics of
Rayleigh distribution based on complete and censored samples. But, traditionally it is …

Reliability analysis is one of the significant applications of statistics. Many parametric and
non-parametric techniques are available for reliability estimation based on precise life time …

In this paper, Bayes method was used to estimate the reliability function when life-time data
is fuzzy, where the case was studied the sample data is fuzzy and the prior distribution …

In this research we will treat fuzzy lifetime data that each value does not have minimum and
maximum limitation which enable us to appoint the suitable belonging degrees but all …

Nadia Hashim Al-Noor abstract: This paper considers the problem of estimating the
reliability function for Lomax distribution with the presence of fuzziness through two …

One of the important things provided by the fuzzy model is the determination of the
membership function. It is used in applications with the fuzzy reliability functions. These …

Lifetime data are important in reliability analysis. Classical reliability estimation is based on
precise lifetime data. It is usually assumed that observed lifetime data are precise real …

As a commonly used model in reliability analysis, the inverse Weibull distribution (IWD) is
widely applied in various scientific fields. This paper considers the reliability estimation of …