IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v10y2017i2p194-226.html
   My bibliography  Save this article

An application of fuzzy screening, fuzzy AHP and fuzzy Shannon's entropy on identification and prioritisation of effective factors in assessment of contractors in Fars Electric Power Distribution Company, Iran

Author

Listed:
  • Sahar Mohamadi
  • Abolghasem Ebrahimi
  • Moslem Alimohammadlou

Abstract

Conducting assessment management and selecting the most efficient contractor are critical issues for efficiently implementing a project, using foreseen resources. Contractors' assessment significantly reduces the costs and improves corporate competitiveness. There are various techniques, including mathematical methods, used for assessing suppliers/contractors. Various qualitative and quantitative factors of different degrees of importance are involved in contractor assessment processes and must be considered before the decision-making phase. In this study, the effective factors were primarily identified using fuzzy screening method, and then the weights of criteria were measured through a combination of two methods, namely Fuzzy AHP and fuzzy Shannon's entropy. Findings revealed that the 'failures and accidents in previous projects' was the most important criteria in selecting contractors.

Suggested Citation

  • Sahar Mohamadi & Abolghasem Ebrahimi & Moslem Alimohammadlou, 2017. "An application of fuzzy screening, fuzzy AHP and fuzzy Shannon's entropy on identification and prioritisation of effective factors in assessment of contractors in Fars Electric Power Distribution Comp," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 10(2), pages 194-226.
  • Handle: RePEc:ids:ijpman:v:10:y:2017:i:2:p:194-226
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=82787
    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.

    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:ids:ijpman:v:10:y:2017:i:2:p:194-226. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=255 .

    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.