IDEAS home Printed from https://ideas.repec.org/a/ids/ijores/v21y2014i4p489-507.html
   My bibliography  Save this article

Hesitant fuzzy linguistic information aggregation in decision making

Author

Listed:
  • Nian Zhang

Abstract

As a generalisation of fuzzy linguistic set (FLS), a hesitant fuzzy linguistic term set (HFLTS) is introduced to provide a linguistic and computational basis to increase the richness of linguistic elicitation based on the fuzzy linguistic approach and the use of context-free grammars by using comparative terms. And the HFLTS is a very useful tool to deal with fuzzy linguistic uncertainty, which can be accurately and perfectly described in terms of the opinions of experts. The aim of this paper is to develop a series of aggregation operators for hesitant fuzzy linguistic information. We first discuss the relationship between FLS and HFLTS, based on which we develop some operations for hesitant fuzzy linguistic elements. The correlations among the aggregation operators are further discussed. Based on the developed operators, we introduce a method for decision making with hesitant fuzzy linguistic information. Finally, we give their application in decision making problems.

Suggested Citation

  • Nian Zhang, 2014. "Hesitant fuzzy linguistic information aggregation in decision making," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 21(4), pages 489-507.
  • Handle: RePEc:ids:ijores:v:21:y:2014:i:4:p:489-507
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=65615
    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:ijores:v:21:y:2014:i:4:p:489-507. 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=170 .

    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.