Log in

+34 977 759833sigef@urv.cat


ISSN (print) 1136-0593 · ISSN (online) 2445-4192

Modeling queueing systems using fuzzy estimators

George N. Botzoris: Democritus University of Thrace

Basil K. Papadopoulos: Democritus University of Thrace

D.S. Sfiris: Democritus University of Thrace


Queuing modeling is the mathematical approach for the analysis of waiting lines. The central problem in every queueing model is a trade-off decision: The manager must weigh the added cost of providing more rapid service against the inherent cost of waiting. In this paper, a new fuzzy approach to queueing modeling is presented in order to eliminate the disadvantages of point estimation and the relevant paradoxes when calculating the efficiency of a queue, in the case of unreliable data available. Both Poisson arrival rate and exponential service time are considered by using fuzzy estimators. The introduction of fuzzy estimators in performance measures of M/M/S queueing systems is presented to address the central estimation issue under uncertainty.


You must be a member to download the full article.

Log in or Sign up

Cron Job Starts