IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v6y1997i4p269-277.html
   My bibliography  Save this article

Discovering probabilistic decision rules

Author

Listed:
  • Beat Wüthrich

Abstract

Techniques to generate probabilistic decision rules are presented that are used to forecast or measure the competitiveness of companies. Rules estimating the competitiveness of companies are described and the generated rules are then applied to forecast the competitiveness of previously unseen companies. Experimental results show that probabilistic decision rule technique outperforms many other machine learning and statistical techniques in this application domain. These findings are further confirmed in a second application, the classification of credits into either good or bad. © 1997 John Wiley & Sons, Ltd.

Suggested Citation

  • Beat Wüthrich, 1997. "Discovering probabilistic decision rules," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 6(4), pages 269-277, December.
    • Handle: RePEc:wly:isacfm:v:6:y:1997:i:4:p:269-277
    DOI: 10.1002/(SICI)1099-1174(199712)6:43.0.CO;2-J
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1099-1174(199712)6:43.0.CO;2-J
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1099-1174(199712)6:43.0.CO;2-J?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. Daniel E. O'Leary, 2009. "Downloads and citations in Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 21-31, January.

    More about this item

    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:wly:isacfm:v:6:y:1997:i:4:p:269-277. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    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.