IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v11y2012i02ns0219622012400044.html
   My bibliography  Save this article

The Ds/Ahp Method Under Partial Information About Criteria And Alternatives By Several Levels Of Criteria

Author

Listed:
  • LEV V. UTKIN

    (Department of Computer Science, St.Petersburg State Forest Technical University, Institutski per.5, 194021, St.Petersburg, Russia)

  • NATALIA V. SIMANOVA

    (Department of Computer Science, St.Petersburg State Forest Technical University, Institutski per.5, 194021, St.Petersburg, Russia)

Abstract

An extension of the DS/AHP method is proposed in the paper. It takes into account the fact that the multi-criteria decision problem might have several levels of criteria. Moreover, it is assumed that expert judgments concerning the criteria are imprecise and incomplete. The proposed extension also uses groups of experts or decision makers for comparing decision alternatives and criteria. However, it does not require assigning favorability values for groups of decision alternatives and criteria. The computation procedure for processing and aggregating the incomplete information about criteria and decision alternatives is reduced to solving a finite set of linear programming problems. Numerical examples explain in detail and illustrate the proposed approach.

Suggested Citation

  • Lev V. Utkin & Natalia V. Simanova, 2012. "The Ds/Ahp Method Under Partial Information About Criteria And Alternatives By Several Levels Of Criteria," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 307-326.
  • Handle: RePEc:wsi:ijitdm:v:11:y:2012:i:02:n:s0219622012400044
    DOI: 10.1142/S0219622012400044
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622012400044
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219622012400044?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.

    References listed on IDEAS

    as
    1. Thomas Augustin, 2002. "Expected utility within a generalized concept of probability — a comprehensive framework for decision making under ambiguity," Statistical Papers, Springer, vol. 43(1), pages 5-22, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amel Ennaceur & Zied Elouedi & Eric Lefevre, 2016. "Belief AHP Method — AHP Method with the Belief Function Framework," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 553-573, May.
    2. Aron Larsson & Mona Riabacke & Mats Danielson & Love Ekenberg, 2015. "Cardinal and Rank Ordering of Criteria — Addressing Prescription within Weight Elicitation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1299-1330, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Antonio Calcagnì & Luigi Lombardi & Lorenzo Avanzi & Eduardo Pascali, 2020. "Multiple mediation analysis for interval-valued data," Statistical Papers, Springer, vol. 61(1), pages 347-369, February.
    2. David Bickel, 2015. "Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 523-546, November.

    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:wsi:ijitdm:v:11:y:2012:i:02:n:s0219622012400044. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    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.