IDEAS home Printed from https://ideas.repec.org/a/ids/ijpman/v10y2017i5p539-554.html
   My bibliography  Save this article

Supplier selection and evaluation using interval-valued intuitionistic fuzzy AHP method

Author

Listed:
  • Hossein Sayyadi Tooranloo
  • Asiyeh Iranpour

Abstract

Supply chain management (SCM) is one of the most important competitive strategies used by modern enterprises. The main aim of supply chain management is to integrate various suppliers to satisfy market demands. To this end, supplier selection and evaluation plays an important role in establishing an effective supply chain. However, it is a hard problem since supplier selection is typically a multi criteria group decision-making problem involving several conflicting criteria on which decision-maker's knowledge is usually vague and imprecise. The current study proposes an AHP method combined with interval intuitionistic fuzzy set to select appropriate supplier in group decision-making environments. A numerical example for supplier selection has been provided to illustrate application of the proposed interval intuitionistic fuzzy AHP method.

Suggested Citation

  • Hossein Sayyadi Tooranloo & Asiyeh Iranpour, 2017. "Supplier selection and evaluation using interval-valued intuitionistic fuzzy AHP method," International Journal of Procurement Management, Inderscience Enterprises Ltd, vol. 10(5), pages 539-554.
  • Handle: RePEc:ids:ijpman:v:10:y:2017:i:5:p:539-554
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=86399
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khorramshahgol, Reza & Al-Husain, Raed, 2021. "A GP-AHP approach to Design Responsive Supply Chains for Pareto Customers," Operations Research Perspectives, Elsevier, vol. 8(C).
    2. Fatma Betül Yeni & Gökhan Özçelik, 2019. "Interval-Valued Atanassov Intuitionistic Fuzzy CODAS Method for Multi Criteria Group Decision Making Problems," Group Decision and Negotiation, Springer, vol. 28(2), pages 433-452, April.
    3. Melda Kokoç & Süleyman Ersöz, 2021. "A literature review of interval-valued intuitionistic fuzzy multi-criteria decision-making methodologies," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(4), pages 89-116.
    4. Büyüközkan, Gülçin & Havle, Celal Alpay & Feyzioğlu, Orhan, 2021. "Digital competency evaluation of low-cost airlines using an integrated IVIF AHP and IVIF VIKOR methodology," Journal of Air Transport Management, Elsevier, vol. 91(C).

    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:5:p:539-554. 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.