The Theory of Decision Under Uncertainty and Possible Applications in Forest Management

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Uncertainty is present in most forest management decision-making situations. Theoretical models for the systematic incorporation of uncertainty into the decision-making process are not adequately available in the forestry literature. The paper investigates the compatibility of one model, Bayesian decision theory, and forest management decision-making problems under uncertainty. Examples of two possibilities for applying Bayes an decision theory in forest management are included.

Document Type: Journal Article

Affiliations: Assistant Professor of Forest Management, Dept. of Forestry and Wildlife, Virginia Polytechnic Inst., Blacksburg

Publication date: June 1, 1968

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