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A Multi-criterial Decision Support System for Forest ManagementAuthor(s): Donald Nute; Geneho Kim; Walter D. Potter; Mark J. Twery; H. Michael Rauscher; Scott Thomasma; Deborah Bennett; Peter Kollasch
Source: Enviromental Decision Support Systems and Artificial Intelligence, Papers from the AAAI Workshop
Publication Series: Scientific Journal (JRNL)
PDF: Download Publication (124 KB)
DescriptionWe 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.
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CitationNute, 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
- A method for integrating multiple components in a decision support system
- Watershed forest management using decision support technology
- NED-1: integrated analyses for forest stewardship decisions
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