IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v29y1983i8p869-883.html
   My bibliography  Save this article

Constructing a Complex Judgmental Model: An Index of Trauma Severity

Author

Listed:
  • Dennis G. Fryback

    (University of Wisconsin-Madison)

  • Ralph L. Keeney

    (Woodward-Clyde Consultants, Walnut Creek, California)

Abstract

The modeling of many complex phenomena necessarily relies on numerous interrelated judgments. This paper illustrates an application of the concepts of multiattribute utility assessment, based on the professional judgments of one physician, to scale the trauma severity of injuries to individuals. Special attention is given to problems not usually present or reported in applications of the assessment techniques. These include nonmonotonic functions, strong dependencies among different measures, and the state dependence of trauma severity on age and existing diseases of the individual. The manner in which these complexities were addressed is indicated.

Suggested Citation

  • Dennis G. Fryback & Ralph L. Keeney, 1983. "Constructing a Complex Judgmental Model: An Index of Trauma Severity," Management Science, INFORMS, vol. 29(8), pages 869-883, August.
  • Handle: RePEc:inm:ormnsc:v:29:y:1983:i:8:p:869-883
    DOI: 10.1287/mnsc.29.8.869
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.29.8.869
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.29.8.869?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. Bosworth, K & Gingiss, P.M & Potthoff, S & Roberts-Gray, C, 1999. "A Bayesian model to predict the success of the implementation of health and education innovations in school-centered programs," Evaluation and Program Planning, Elsevier, vol. 22(1), pages 1-11.
    2. Zanakis, Stelios H. & Mandakovic, Tomislav & Gupta, Sushil K. & Sahay, Sundeep & Hong, Sungwan, 1995. "A review of program evaluation and fund allocation methods within the service and government sectors," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 59-79, March.
    3. Bana e Costa, Carlos A. & Oliveira, Mónica D. & Vieira, Ana C.L. & Freitas, Liliana & Rodrigues, Teresa C. & Bana e Costa, João & Freitas, Ângela & Santana, Paula, 2023. "Collaborative development of composite indices from qualitative value judgements: The EURO-HEALTHY Population Health Index model," European Journal of Operational Research, Elsevier, vol. 305(1), pages 475-492.

    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:29:y:1983:i:8:p:869-883. 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.