IDEAS home Printed from https://ideas.repec.org/a/igg/jfsa00/v14y2025i1p1-17.html

A Z-Number-Based Decision Framework: Modification and Application for Evaluating the University Cultural Construction Quality

Author

Listed:
  • Dan Zhang

    (Sichuan University Jinjiang College, China)

Abstract

The intrinsic needs of universities clarify the internal logic of their cultural development. As a distinct form of social culture, university culture takes shape gradually through long-term educational practice and is embedded within the profound cultural heritage of institutions. Each university cultivates its own unique cultural traditions and characteristics over the course of its historical development, forming the very foundation of its existence. In China, university culture represents the soul of higher education institutions. Evaluating the quality of university culture constitutes a multi-attribute decision making (MADM) challenge. Contemporary approaches utilize techniques like Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and entropy to address such MADM problems. In this study, Z-numbers were applied to represent uncertain information. This study developed an integrated Z-number TOPSIS (ZN-TOPSIS) framework to handle MADM within a Z-number environment. To demonstrate the proposed approach's practicality, a numerical example for the evaluation of the quality of university culture construction is presented to show the ZN-TOPSIS approach.

Suggested Citation

  • Dan Zhang, 2025. "A Z-Number-Based Decision Framework: Modification and Application for Evaluating the University Cultural Construction Quality," International Journal of Fuzzy System Applications (IJFSA), IGI Global Scientific Publishing, vol. 14(1), pages 1-17, January.
  • Handle: RePEc:igg:jfsa00:v:14:y:2025:i:1:p:1-17
    as

    Download full text from publisher

    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJFSA.397046
    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:jfsa00:v:14:y:2025:i:1:p:1-17. 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.