IDEAS home Printed from
   My bibliography  Save this article

Application of fuzzy AHP method in measuring and prioritising perceived value in hospital ERs


  • Jihene Jlassi
  • Abederrahman El Mhamedi
  • Habib Chabchoub


Accessing a hospital through the Emergency Department (ED) has become a subject of study for many researchers involved in pricing and resource allocation in healthcare. The research developed in this paper aims to measure the performance of the ED at Sfax Hospital as perceived by its patients. In the methodology, Triangular Fuzzy Numbers (TFNs) were introduced in the conventional Analytic Hierarchy Process (AHP) in order to address the imprecise judgements. The results indicate that in order to maximise the patients' satisfaction and perceptions of value, it is crucial to optimise the use of particular human resources.

Suggested Citation

  • Jihene Jlassi & Abederrahman El Mhamedi & Habib Chabchoub, 2008. "Application of fuzzy AHP method in measuring and prioritising perceived value in hospital ERs," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 2(2), pages 123-136.
  • Handle: RePEc:ids:ijrevm:v:2:y:2008:i:2:p:123-136

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.


    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:ids:ijrevm:v:2:y:2008:i:2:p:123-136. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Darren Simpson). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.