IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3198645.html
   My bibliography  Save this article

Dombi Interval-Valued Hesitant Fuzzy Aggregation Operators for Information Security Risk Assessment

Author

Listed:
  • Hao Bin Liu
  • Yi Liu
  • Lei Xu

Abstract

This paper studies the improved aggregation operator based on Dombi and its application in multiattribute decision making (MADM). Firstly, the axiomatic definition of interval-valued hesitant fuzzy elements (IVHFEs) based on Dombi t -norm and t -conorm is introduced. Secondly, we propose a series of IVHFE aggregation operators (IVHFDWA, IVHFDWG, IVHFDOWA, IVHFDOWG, IVHFDHA, and IVHFDHG). In order to get the weight information of attributes, based on the basic idea of traditional distance formula, a distance formula between IVHFEs is constructed, and the optimization model of attribute weight is established. Then, a case study for selection of information security platform is given to demonstrate the merits of the developed method. The parameters of aggregation operator are analyzed in detail, and the critical value of parameters affecting decision making is given. Finally, this method is compared with other methods, which proves the validity and applicability of this method.

Suggested Citation

  • Hao Bin Liu & Yi Liu & Lei Xu, 2020. "Dombi Interval-Valued Hesitant Fuzzy Aggregation Operators for Information Security Risk Assessment," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-15, May.
    • Handle: RePEc:hin:jnlmpe:3198645
    DOI: 10.1155/2020/3198645
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/3198645.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2020/3198645.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/3198645?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Asima Razzaque & Abdul Razaq & Afifa Khalid & Ibtisam Masmali & Umer Shuaib & Ghaliah Alhamzi, 2023. "Selecting an Optimal Approach to Reduce Drivers of Climate Change in a Complex Intuitionistic Fuzzy Environment," Sustainability, MDPI, vol. 15(16), pages 1-25, August.

    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:hin:jnlmpe:3198645. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.