Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Donald Nute; Geneho Kim; Walter D. Potter; Mark J. Twery; H. Michael Rauscher; Scott Thomasma; Deborah Bennett; Peter Kollasch
    Date: 1999
    Source: Enviromental Decision Support Systems and Artificial Intelligence, Papers from the AAAI Workshop
    Publication Series: Scientific Journal (JRNL)
    PDF: Download Publication  (124 KB)


    We describe a research project that has as its goal development of a full-featured decision support system for managing forested land to satisfy multiple criteria represented as timber, wildlife, water, ecological, and wildlife objectives. The decision process proposed for what was originally conceived of as a Northeast Decision Model (NED) includes data acquisition, goal selection, goal satisfaction analysis, goal conflict analysis, stand modification recommendations, silvicultural method assignment, and stand treatment recommendations. NED-l supports the first three functions. We discuss the AI techniques that are used in NED-1 and that will be used to add the remaining functions planned for later versions of NED.

    Publication Notes

    • You may send email to to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.


    Nute, Donald; Kim, Geneho; Potter, Walter D.; Twery, Mark J.; Rauscher, H. Michael; Thomasma, Scott; Bennett, Deborah; Kollasch, Peter. 1999. A Multi-criterial Decision Support System for Forest Management. Enviromental Decision Support Systems and Artificial Intelligence, Papers from the AAAI Workshop

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page