IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v34y2025i2d10.1007_s10726-024-09915-8.html
   My bibliography  Save this article

Group Decision Making in Multiobjective Optimization: A Systematic Literature Review

Author

Listed:
  • Juuso Pajasmaa

    (Faculty of Information Technology)

  • Kaisa Miettinen

    (Faculty of Information Technology)

  • Johanna Silvennoinen

    (Faculty of Information Technology)

Abstract

Group decision making has been studied from several viewpoints and a variety of methods has been proposed. However, in the literature on solving multiobjective optimization problems, the main focus has been on supporting a single decision maker. We conducted a systematic literature review to examine and synthesize the state-of-the-art of multiobjective optimization methods developed for group decision making. We analyze group decision making methods of multiobjective optimization according to how preferences of several decision makers are incorporated into the solution process, how to select the most preferred solution for the group, different types of decision makers, types of groups and how the group is to operate during the solution process. In addition, we identify the key issues in the literature that are required to be considered in further method development to increase the methods’ applicability in solving real-world problems. Finally, we guide how to select a method for solving real-world multiobjective optimization problems with multiple decision makers and suggest future research directions.

Suggested Citation

  • Juuso Pajasmaa & Kaisa Miettinen & Johanna Silvennoinen, 2025. "Group Decision Making in Multiobjective Optimization: A Systematic Literature Review," Group Decision and Negotiation, Springer, vol. 34(2), pages 329-371, April.
    • Handle: RePEc:spr:grdene:v:34:y:2025:i:2:d:10.1007_s10726-024-09915-8
    DOI: 10.1007/s10726-024-09915-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10726-024-09915-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10726-024-09915-8?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:grdene:v:34:y:2025:i:2:d:10.1007_s10726-024-09915-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.