Performance Evaluation of Network Models based on Fuzzy Queueing System

Abstract

The purpose of this paper is to combine the ability of fuzzy set to represent more realistic situations with the well-established traditional queueing network model problem. We are forced to employ subjective probabilities when there is no information about a model or some parameters of a model are vague. The information and data are very fuzzy, because they are frequently very little, and may be sometimes obtained from experts subjectively. We also apply fuzzy set theory to the open central server network model with the fuzzy queues and the closed single class BCMP network model in which each node consists of fuzzy queue. Thus, we represent the characteristic and performance of the open central server network model and the closed single class BCMP network model based on the proposed fuzzy queueing system.