IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-94-017-0663-6_21.html
   My bibliography  Save this book chapter

A visual approach to the procedures of Multicriteria Intelligence Decision Aiding Systems

In: Advances in Stochastic Modelling and Data Analysis

Author

Listed:
  • A. Spyridakos

    (Technological Educational Institute of Piraeus)

  • D. Yannacopoulos

    (Technological Educational Institute of Piraeus)

Abstract

The procedures of interactive multicriteria decision making methods require a high degree of reliability on the part of the Decision Maker (DM) in the iterative dialogues so that his/her real preferences can be defined. Artificial intelligence and visual techniques are embedded in the decision making process aiming to help the DM understand the real nature of the problem, manage the data and understand his/her cognitive style. This paper presents the embedding of visual techniques in the procedures of intelligence Decision Aiding Systems. The new WINDOWS version of the MINORA system, which realizes the aforementioned approach and a set of furthermore facilities, is presented also through an illustrated example.

Suggested Citation

  • A. Spyridakos & D. Yannacopoulos, 1995. "A visual approach to the procedures of Multicriteria Intelligence Decision Aiding Systems," Springer Books, in: Jacques Janssen & Christos H. Skiadas & Constantin Zopounidis (ed.), Advances in Stochastic Modelling and Data Analysis, pages 339-354, Springer.
    • Handle: RePEc:spr:sprchp:978-94-017-0663-6_21
    DOI: 10.1007/978-94-017-0663-6_21
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:sprchp:978-94-017-0663-6_21. 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.