bayesian estimation in the m/m/1 queueing model under a type ii censoring scheme based on fuzzy data

In this article‎, ‎the bayesian estimation of the traffic intensity parameter for the m/m/1 queuing system is performed when it follows a beta prior distribution‎. ‎the analysis is conducted under the general entropy and linear exponential loss functions‎, ‎considering a type ii censoring scheme based on fuzzy data‎. ‎furthermore‎, ‎the obtained estimators compared under these two loss functions using an extensive monte carlo simulation study‎. ‎a real-world data set is also utilized to determine the more appropriate estimator.