Fuzzy vs. Traditional Reliability Model for Inverse Weibull Distribution

In this paper, fuzzy stress strengths RF=P(Y≺X) and traditional R=P(Y<X) are considered compared when X Y independently inverse Weibull random variables. When axiomatic set theory is taken into account in the stress–strength inference, it enables generation of more precise studies on underlying systems. We discuss estimating both conventional models strength utilizing a maximum product spacing, likelihood, Bayesian approaches. Simulations based Markov Chain Monte Carlo method used to produce various estimators dependability for model. To generate dependability, we use Metropolis–Hastings while performing estimation. conclusion, will examine scenario from actual life apply real-world data application validate accuracy provided estimators.