IDEAS home Printed from https://ideas.repec.org/a/fzy/fuzeco/vxviiiy2013i2p3-17.html
   My bibliography  Save this article

Modeling Queueing Systems Using Fuzzy Estimators

Author

Listed:
  • G.N. Botzoris

    (Democritus University of Thrace. Department of Civil Engineering. Section of transportation, Greece)

  • B.K. Papadopoulos

    (Democritus University of Thrace. Department of Civil Engineering. Section of mathematics, Greece)

  • D.S. Sfiris

    (Democritus University of Thrace. Department of Civil Engineering. Section of mathematics, Greece)

Abstract

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.

Suggested Citation

  • G.N. Botzoris & B.K. Papadopoulos & D.S. Sfiris, 2013. "Modeling Queueing Systems Using Fuzzy Estimators," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 3-17, November.
    • Handle: RePEc:fzy:fuzeco:v:xviii:y:2013:i:2:p:3-17
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    queueing systems; fuzzy sets; fuzzy statistics; fuzzy estimators; cost of queuing system;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fzy:fuzeco:v:xviii:y:2013:i:2:p:3-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Aurelio Fernandez (email available below). General contact details of provider: https://edirc.repec.org/data/sigefea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.