IDEAS home Printed from https://ideas.repec.org/a/taf/tjmaxx/v9y2022i3p351-368.html
   My bibliography  Save this article

MCGDM model using uncertain linguistic consistency sets of single and interval linguistic term multivalued sets

Author

Listed:
  • Jun Ye

Abstract

This paper presents hybrid linguistic expressions and operations for the hybrid linguistic multiple criteria group decision making (MCGDM) issue with identical and/or different single and interval linguistic term values. First, we propose a single and interval linguistic term multivalued set/element (SILTMS/SILTME) and develop a consistency measure of SILTMEs based on Shannon entropy to measure the consistency degree of single and interval linguistic term values in SILTME. Second, we converse SILTMS/SILTME into an uncertain linguistic consistency set/element (ULCS/ULCE) in terms of the mean and consistency measure of SILTMEs to reasonably perform operations between different information forms/sequence lengths in SILTMSs. Third, we define some operations of ULCEs and the expected values and sorting rules of ULCEs. Fourth, we present the ULCE weighted mean and geometric operators and their characteristics. Finally, we develop a MCGDM model using the weighted mean operation of the two operators and apply it in the mine safety assessment.

Suggested Citation

  • Jun Ye, 2022. "MCGDM model using uncertain linguistic consistency sets of single and interval linguistic term multivalued sets," Journal of Management Analytics, Taylor & Francis Journals, vol. 9(3), pages 351-368, July.
    • Handle: RePEc:taf:tjmaxx:v:9:y:2022:i:3:p:351-368
    DOI: 10.1080/23270012.2022.2117000
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23270012.2022.2117000
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23270012.2022.2117000?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:tjmaxx:v:9:y:2022:i:3:p:351-368. 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/tjma .

    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.