%0 Journal Article
%T Fuzzy Nonparametric Predictive Inference for the Reliability of Series Systems
%A Bahram Sadeghpour Gildeh
%A Behrouz Fathi Vajargah
%A Gholam-Reza Mohtashami Borzadaran
%A Soheil Shokri
%J Asian Journal of Fuzzy and Applied Mathematics
%D 2016
%X This paper presents fuzzy lower and upper probabilities for the reliability of series systems. Attention is restricted to series systems with exchangeable components. In this paper, we consider the problem of the evaluation of system reliability based on the nonparametric predictive inferential (NPI) approach, in which the defining the parameters of reliability function as crisp values is not possible and parameters of reliability function are described using a triangular fuzzy number. The formula of a fuzzy reliability function and its ¦Á-cut set are present. The fuzzy reliability of structures defined based on a fuzzy number. Furthermore, the fuzzy reliability functions of series systems discussed. Finally, some numerical examples are present to illustrate how to calculate the fuzzy reliability function and its ¦Á-cut set. In other words, the aim of this paper is present a new method titled fuzzy nonparametric predictive inference for the reliability of series systems
%K [series systems
%K lower and upper probabilities
%K non-parametric predictive inference
%K Fuzzy number.]
%U https://www.ajouronline.com/index.php/AJFAM/article/view/4298