IDEAS home Printed from https://ideas.repec.org/a/ids/ijpdev/v7y2009i1-2p170-181.html
   My bibliography  Save this article

A new fuzzy method for dealing with inconsistency Production System application

Author

Listed:
  • Aicha Seklouli Sekhari
  • Abdelaziz Bouras
  • Denis Gien

Abstract

In many industrial branches, the enterprises have nearly the same technical level and the differences in their success rates are mainly due to how they satisfy users' needs. A close look at the manufacturing system level shows that the problem is not only to identify those needs, which are mostly qualitative and inconsistent, but to have the capacity and tools to assess this type of qualitative data and deal with its inconsistency. As regards qualitative data, many authors have worked on this problem using fuzzy set tools. However, reviewing the literature contents shows that only a few papers have concentrated their efforts on the inconsistency. In this paper, we propose a contribution consisting in a distance-based method which tries to preserve and transform the inconsistency by introducing a cover index.

Suggested Citation

  • Aicha Seklouli Sekhari & Abdelaziz Bouras & Denis Gien, 2009. "A new fuzzy method for dealing with inconsistency Production System application," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 7(1/2), pages 170-181.
  • Handle: RePEc:ids:ijpdev:v:7:y:2009:i:1/2:p:170-181
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=22282
    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:ijpdev:v:7:y:2009:i:1/2:p:170-181. 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=36 .

    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.