IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v46y2025i7p4011-4031.html
   My bibliography  Save this article

Three‐Stage Multi‐Attribute Group Decision‐Making Method Based on Interval‐Valued Spherical Fuzzy Density Operator

Author

Listed:
  • Wenkun Zhou
  • Mei Hong

Abstract

The information aggregation operator in a fuzzy environment effectively reduces information errors and enhances the accuracy of decision‐making. In this paper, considering the preference of decision makers (DMs) for dense distribution of evaluation information, we introduce density intermediate operators and propose interval‐valued spherical fuzzy density intermediate operators, which include the interval‐valued spherical fuzzy density weighted arithmetic average (IVSFDWAA) operator and the interval‐valued spherical fuzzy density weighted geometric average (IVSFDWGA) operator, to achieve effective aggregation of information and study their related properties. In addition, the distance measure and entropy theory in the interval‐valued spherical fuzzy environment are extended, and the weight of attributes is determined by comprehensive fuzzy information entropy. On this basis, a three‐stage multi‐attribute group decision‐making method combining TOPSIS is proposed. Finally, an example is provided to illustrate the effectiveness of the proposed method, and its sensitivity and comparative analysis are carried out.

Suggested Citation

  • Wenkun Zhou & Mei Hong, 2025. "Three‐Stage Multi‐Attribute Group Decision‐Making Method Based on Interval‐Valued Spherical Fuzzy Density Operator," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 46(7), pages 4011-4031, October.
    • Handle: RePEc:wly:mgtdec:v:46:y:2025:i:7:p:4011-4031
    DOI: 10.1002/mde.70000
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.70000
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.70000?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
    ---><---

    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:wly:mgtdec:v:46:y:2025:i:7:p:4011-4031. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.