events and upgrading availability of manufacturing industries. The traditional statistical
models have been currently used; however, the complexity growth and diversity of systems
as well as uncertainty of their functions result in extreme difficulties in analyzing the reliability
by such models. To overcome such drawbacks, the soft computing techniques are useful
alternative for modeling of complex systems and prediction applications. Hence, this paper …