IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v28y1982i3p236-242.html
   My bibliography  Save this article

Hidden Attributes and the Display of Information in Multiobjective Analysis

Author

Listed:
  • David A. Schilling

    (Ohio State University)

  • Arthur McGarity

    (Swarthmore College)

  • Charles ReVelle

    (Johns Hopkins University)

Abstract

Quite often in the creation of analytic models for decision problems involving multiple objectives, some of the objectives are excluded. This can be due to their being consciously or unconsciously hidden by the decisionmaker or due to the lack of quantifiable performance measures. The normal procedure for evaluation of alternatives by the decisionmaker involves the presentation of their performance with respect to the stated criteria. When there are hidden objectives, however, the impact of the policies cannot be fully evaluated. Without the values of performance measures for all objectives for each of the alternatives, the decision-maker's choice among them rests on his preference weightings of the modelled objectives alone. To facilitate the decisionmaker's evaluation with respect to the hidden attributes, the presentation of alternatives should include values of the decision variables as well as quantified criteria. Several methods for displaying information from a multiobjective analysis in terms of both the objectives and decisions are presented and discussed. Examples are provided for problems having both discrete and continuous solution spaces.

Suggested Citation

  • David A. Schilling & Arthur McGarity & Charles ReVelle, 1982. "Hidden Attributes and the Display of Information in Multiobjective Analysis," Management Science, INFORMS, vol. 28(3), pages 236-242, March.
    • Handle: RePEc:inm:ormnsc:v:28:y:1982:i:3:p:236-242
    DOI: 10.1287/mnsc.28.3.236
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.28.3.236
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.28.3.236?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
    ---><---

    Citations

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


    Cited by:

    1. Gerard Rushton, 1984. "Use of Location-Allocation Models for Improving the Geographical Accessibility of Rural Services in Developing Countries," International Regional Science Review, , vol. 9(3), pages 217-240, December.

    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:inm:ormnsc:v:28:y:1982:i:3:p:236-242. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.