Analysis of fuzzy queues with imprecise information

Abstract

The study on queues is inevitable in today s busy world as waiting in some newlineorder to get served is a common phenomenon. Science, Engineering, Medicine, newlineBusiness, Service centers, Reservation counters, Communication network and Computer newlinecenters are some fields where queues are formed from time to time. Queueing theory newlineis a branch of Applied Probability Theory which attempts to explore and compare newlinevarious queueing situations for an approximate optimization. As queues are omnipresent newlinea study on their maintenance is highly essential. Operations Research can quite newlineeffectively analyse queueing or congestion phenomena. The theory permits performance newlinemeasures including average waiting time in the system, expected number waiting in newlinethe system or queue and the probability of encountering the system in certain states newlinesuch as empty, full, having an available server or having to wait before service, etc. newline