IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v8y2020i6p524-548n6.html
   My bibliography  Save this article

Hesitant Trapezoid Fuzzy Hamacher Aggregation Operators and Their Application to Multiple Attribute Decision Making

Author

Listed:
  • Yu Qian

    (School of Business and Administration, Chongqing University of Science & Technology, Chongqing401331, China)

  • Cao Jun

    (School of Business and Administration, Chongqing University of Science & Technology, Chongqing401331, China)

  • Tan Ling

    (School of Business and Administration, Chongqing University of Science & Technology, Chongqing401331, China)

  • Zhai Yubing

    (School of Management and Economics, Beijing Institute of Technology, Beijing100081, China)

  • Liu Jiongyan

    (School of Business and Administration, Chongqing University of Science & Technology, Chongqing401331, China)

Abstract

In this paper, we investigate the multiple attribute decision making (MADM) problems in which the attribute values take the form of hesitant trapezoid fuzzy information. Firstly, inspired by the idea of hesitant fuzzy sets and trapezoid fuzzy numbers, the definition of hesitant trapezoid fuzzy set and some operational laws of hesitant trapezoid fuzzy elements are proposed. Then some hesitant trapezoid fuzzy aggregation operators based on Hamacher operation are developed, such as the hesitant trapezoid fuzzy Hamacher weighted average (HTrFHWA) operator, the hesitant trapezoid fuzzy Hamacher weighted geometric (HTrFHWG) operator, the hesitant trapezoid fuzzy Hamacher Choquet average (HTrFHCA), the hesitant trapezoid fuzzy Hamacher Choquet geometric (HTrFHCG), etc. Furthermore, an approach based on the hesitant trapezoid fuzzy Hamacher weighted average (HTrFHWA) operator and the hesitant trapezoid fuzzy Hamacher weighted geometric (HTrFHWG) operator is proposed for MADM problems under hesitant trapezoid fuzzy environment. Finally, a numerical example for supplier selection is given to illustrate the application of the proposed approach.

Suggested Citation

  • Yu Qian & Cao Jun & Tan Ling & Zhai Yubing & Liu Jiongyan, 2020. "Hesitant Trapezoid Fuzzy Hamacher Aggregation Operators and Their Application to Multiple Attribute Decision Making," Journal of Systems Science and Information, De Gruyter, vol. 8(6), pages 524-548, December.
  • Handle: RePEc:bpj:jossai:v:8:y:2020:i:6:p:524-548:n:6
    DOI: 10.21078/JSSI-2020-524-25
    as

    Download full text from publisher

    File URL: https://doi.org/10.21078/JSSI-2020-524-25
    Download Restriction: no

    File URL: https://libkey.io/10.21078/JSSI-2020-524-25?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
    ---><---

    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:bpj:jossai:v:8:y:2020:i:6:p:524-548:n:6. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.