Bayes Estimator For The Reliability Based on Fuzzy Life Time Data

Authors

  • Ahmed Riad Khaddam Megabelle
  • prof.Dr Abdul Rahim Khalaf

Keywords:

fuzzy reliability function , membership function , Squared Error Loss Function, Pareto distribution , Gamma distribution

Abstract

            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 contains non- fuzzy parameters by using the squared error loss function with three states of the cut-off level values ​​(α). This was applied in the textile department of the Wasit Knitting and Weaving Factory to estimate the function of fuzzy reliability of the machines. The paper conclud that the estimated values ​​of fuzzy reliability function  increase  when  increasing the degree of  membership as will as the sample size were increased.

Published

2022-03-22