By Annika Kangas
This up to date and elevated moment variation provides the newest advances in participatory making plans techniques and strategies, giving targeted emphasis to determination help instruments usable below uncertainty. the hot variation locations emphasis at the collection of standards and growing choices in sensible multi-criteria choice making problems.
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Additional resources for Decision Support for Forest Management
Gilles, J. K. (2003). Decision methods for forest resource management. Boston: Academic. 439 p. Clutter, J. , Fortson, J. , Pienaar, L. , Brister, G. , & Bailey, R. L. (1983). Timber management: A quantitative approach. New York: Wiley. 333 p. Curtis, F. H. (1962). Linear programming of the management of a forest property. Journal of Forestry, 60, 611–616. Davis, K. P. (1966). ). New York: McGraw – Hill. 519 p. , Johnson, K. , Bettinger, P. , & Howard, T. E. (2001). ). Boston: McGraw Hill. 804 p.
If the 42 4 Multi-criteria Decision Problems decision alternatives are formulated before the objectives are specified, none of them may actually be very good for the decision-maker. Keeney (1992) proposes that alternatives for one decision-maker are created first by thinking an alternative that is desirable with respect to first of the criteria and then do the same with other criteria. After that the decision-maker should consider alternatives that could be desirable with respect to a pair of criteria and go through all pairs.
Kangas et al. 1993a, b). In some cases it is not possible to have either natural or constructed criterion for a given objective. For instance, biodiversity or sustainability may be so complicated a criterion that forming a measurement scale is very difficult. In such a case, a proxy criterion may be used (Keeney 1992). Proxy criteria are assumed to indirectly measure the level of achievement. g. Kangas and Pukkala 1996; Ka¨rkka¨inen et al. 2014). 1: Measuring Sustainability Sustainability can be seen as an overall objective, and it can be measured using suitable criteria.
Decision Support for Forest Management by Annika Kangas