IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-16-0382-2_3.html
   My bibliography  Save this book chapter

GSES Based on Intuitionistic Fuzzy VIKOR Method

In: Green Supplier Evaluation and Selection: Models, Methods and Applications

Author

Listed:
  • Hu-Chen Liu

    (Tongji University)

  • Xiao-Yue You

    (Tongji University)

Abstract

Considering the fact that it is difficult to precisely determine criteria weights and the ratings of suppliers on each criterion in real-life situations, the VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) method has been modified for intuitionistic fuzzy data in this chapter for green supplier selection. Further, we take into account both subjective and objective weights of evaluation criteria in the GSES process, as most green supplier selection approaches consider only subjective criteria weights. Finally, two green supplier selection examples are provided to illustrate the proposed intuitionistic fuzzy hybrid VIKOR (IFH-VIKOR) method, and its merits are highlighted by comparing with other relevant approaches.

Suggested Citation

  • Hu-Chen Liu & Xiao-Yue You, 2021. "GSES Based on Intuitionistic Fuzzy VIKOR Method," Springer Books, in: Green Supplier Evaluation and Selection: Models, Methods and Applications, chapter 0, pages 67-85, Springer.
  • Handle: RePEc:spr:sprchp:978-981-16-0382-2_3
    DOI: 10.1007/978-981-16-0382-2_3
    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.

    More about this item

    Statistics

    Access and download statistics

    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:978-981-16-0382-2_3. 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.