Measuring the Value of Information in Multicriteria Decisionmaking
Decisions in forestry typically include uncertainty. The decisionmaker then has two options: either to make the optimal choice between different alternative actions with the current information or to try to reduce the uncertainty by collecting more information. The value of information is due to the ability to make better decisions with new information. When the decisions only affect provision of goods that have market value, evaluation of alternative decisions is in principle a straightforward exercise of cost-benefit analysis. In sustainable forest management, however, multiple objectives typically exist, and these objectives may be related to provision of public goods and services. Because such goods and services cannot be directly measured in monetary terms, the problem of value of information is more complicated. The possible solutions are to assess the monetary value separately for all goods and services and evaluate the decisions with cost-benefit analysis or to evaluate the decisions in terms of utility with multicriteria analysis and calculate the (monetary) value of decisions based on these utilities. The aim of this study was to present these two cases for evaluating decisions and analyze their similarities and differences and to discuss the usefulness of these approaches in evaluating the value of information from different perspectives.
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Document Type: Research Article
Publication date: 2010-12-01
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- Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
Forest Science is published bimonthly in February, April, June, August, October, and December.
2016 Impact Factor: 1.782 (Rank 17/64 in forestry)
Average time from submission to first decision: 62.5 days*
June 1, 2016 to Feb. 28, 2017
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