IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v31y2018i1p1437-1452.html
   My bibliography  Save this article

Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’

Author

Listed:
  • Kao-Yi Shen
  • Edmundas Kazimieras Zavadskas
  • Gwo-Hshiung Tzeng

Abstract

A recent review discussed a variety of hybrid multiple criteria decision-making (HMCDM) methods on the subject of sustainability issues. Some soft computing techniques, such as the fuzzy set, have contributed significantly to HMCDM studies, emulating the imprecise or uncertain judgments of experts/decision makers in a complex environment. Nevertheless, a new rising trend in HMCDM, known as multiple rule-based decision-making (MRDM), which has the advantage of revealing understandable knowledge for supporting systematic improvements based on influential network relation maps (INRM), was not discussed in the review. This study therefore attempts to extend the review by introducing recent developments and the associated work on MRDM for solving practical problems, updating the discussion.

Suggested Citation

  • Kao-Yi Shen & Edmundas Kazimieras Zavadskas & Gwo-Hshiung Tzeng, 2018. "Updated discussions on ‘Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues’," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 31(1), pages 1437-1452, January.
  • Handle: RePEc:taf:reroxx:v:31:y:2018:i:1:p:1437-1452
    DOI: 10.1080/1331677X.2018.1483836
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2018.1483836
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1331677X.2018.1483836?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:reroxx:v:31:y:2018:i:1:p:1437-1452. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rero .

    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.