Designing Bulk Arrival Queue Model to an Interdependent Communication System with Fuzzy Parameters

This study attempts to investigate and fuzzify the bulk queuing model of a communication system with statistical multiplexers containing the packet voice source and the data. In this study, we assumed that the incoming messages and transmitted messages are correlated at the node of network that make the system interdependent. The uncertain parameters are considered in fuzzy numbers. A set of parametric values are developed to evaluate the bounds of system characteristic functions at possibility level α. Numerical examples with graphical insight are also illustrated to check the validity of the proposed approach.