IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-16-1368-5_8.html
   My bibliography  Save this book chapter

Intuitionistic Fuzzy Optimization Technique to Solve a Multiobjective Vendor Selection Problem

In: Strategic Management, Decision Theory, and Decision Science

Author

Listed:
  • Prabjot Kaur

    (Birla Institute of Technology)

  • Shreya Singh

    (Birla Institute of Technology)

Abstract

The multiobjective vendor selection problem (VSP) is the selection of more than one vendor and their order of allocations. But multiobjective decision-making involves conflicting criteria. The conflicts can be best handled by fuzzy sets. But a more advanced form of fuzzy sets with an additional feature is intuitionistic fuzzy sets (IFS). In this paper, we present an application of an intuitionistic fuzzy optimization technique in VSP. We formulate an intuitionistic fuzzy optimization (IFO) model with objective functions like cost, quality, and delivery as intuitionistic fuzzy sets subject to various constraints that are buyers demand, vendor's capacity, vendor budget allocations, etc. A numerical example of purchasing auto parts from a multinational company is illustrated in our problem. We compared our approach with the fuzzy approach of Kumar et al. (2006). Results imply that IFO is capable of handling uncertainty with a higher degree of acceptance compared to fuzzy approach.

Suggested Citation

  • Prabjot Kaur & Shreya Singh, 2021. "Intuitionistic Fuzzy Optimization Technique to Solve a Multiobjective Vendor Selection Problem," Springer Books, in: Bikas Kumar Sinha & Srijib Bhusan Bagchi (ed.), Strategic Management, Decision Theory, and Decision Science, pages 109-117, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-1368-5_8
    DOI: 10.1007/978-981-16-1368-5_8
    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.

    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:spr:sprchp:978-981-16-1368-5_8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.