A Multi-Criterial Decision Support System for Forest Management

Donald Nute, Geneho Kim, Walter D. Potter, Mark J. Twery, H. Michael Rauscher, Scott Thomasma, Deborah Bennett, and Peter Kollasch

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-1 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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