IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v18y2026i1p1-25.html

Framework for Assessing Development Quality of the Digital Rural Economy Under Uncertainty

Author

Listed:
  • Wanju Tong

    (Business School, Huaiyin Institute of Technology, China)

  • Rui Lin

    (Chongqing University of Arts and Sciences, Yongchuan, China)

Abstract

The evaluation of development quality in the digital rural agricultural economy, against the background of rural revitalization, is a multiple-attribute decision-making (MADM) problem. This study first presents the fundamental operational rules of interval-valued intuitionistic fuzzy sets (IVIFSs), including the Hamacher sum and Hamacher product operations. On this basis, an induced interval-valued intuitionistic fuzzy Hamacher interactive hybrid weighted averaging (I-IVIFHIHWA) operator is proposed, which integrates the advantages of the interval-valued intuitionistic fuzzy Hamacher interactive hybrid weighted averaging operator and the induced ordered weighted averaging operator. Several desirable properties of the I-IVIFHIHWA operator are also investigated. Subsequently, the proposed operator is applied to solve MADM problems within the IVIFS framework. Finally, a practical case concerning the development quality assessment of the digital rural agricultural economy under rural revitalization is presented to verify the validity of the operator.

Suggested Citation

  • Wanju Tong & Rui Lin, 2026. "Framework for Assessing Development Quality of the Digital Rural Economy Under Uncertainty," International Journal of Decision Support System Technology (IJDSST), IGI Global Scientific Publishing, vol. 18(1), pages 1-25, January.
    • Handle: RePEc:igg:jdsst0:v:18:y:2026:i:1:p:1-25
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.402043
    Download Restriction: no
    ---><---

    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:igg:jdsst0:v:18:y:2026:i:1:p:1-25. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.