Modeling Of Communication Network with Bulk Arrival Queuing Model Under Intuitionistic Fuzzy Environment Using Robust Ranking Method

Abstract

This work has been studied by dynamic system of communication flow in the presence of bulk arrival queueing theory under fuzzy and intuitionistic fuzzy environment by using Robust ranking technique. Also, we studied the application of bulk arrival queue model to communication network under ambiguous data, where the arrival rate and service rate are IFS in nature. We construct the membership and non-membership functions of triangular and trapezoidal fuzzy numbers through IFS α-cut approach and it is illustrated with the numerical example.