Difference between revisions of "Test"
From COST Action FP0804: FORSYS
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{{Methods and Dimensions | {{Methods and Dimensions | ||
− | |Has temporal scale= | + | |WikiPageTitle=test |
− | |Has spatial context=Spatial with | + | |Has related DSS=In this paper, no full DSS was used; Web-HIPRE was used for the AHP. Since then, AHP has been implemented in the Heureka PlanEval application. |
− | |Has spatial scale=Forest level | + | |Has temporal scale=Long term (strategic); |
− | |Has objectives dimension= | + | |Has spatial context=Spatial with neighborhood interrelations; |
− | |Has goods and services dimension=Market non | + | |Has spatial scale=Forest level; |
− | + | |Has decision making dimension=More than one decision maker/stakeholder; | |
− | |Has risk/uncertainty analysis= | + | |Has objectives dimension=Multiple |
− | |Has advantages= | + | |Has goods and services dimension=Market non wood products;Market wood products;Non market services; |
− | |Has disadvantages= | + | |Has risk/uncertainty analysis=no |
− | |Has main contraints= | + | |Has advantages=AHP is a relatively simple and transparent method which is an advantage in participatory planning. |
− | |Has related DSS development= | + | |Has disadvantages=Using the standard AHP with pairwise comparisons of both criteria and alternatives may be cognitively demanding to the DM(s) with a larger number of criteria and alternatives. In turn, this may lead to inconsistency in preferences. |
− | + | |Has main contraints=The number of elements to be compared at each level should probably not exceed 4-5. | |
− | + | |Has related DSS development= | |
− | + | |Has reference=Nordström E.-M., Eriksson Ljusk O. & Öhman K. 2010. Integrating multiple criteria decision analysis in participatory forest planning: Experience from a case study in northern Sweden. Forest Policy and Economics 12(8): 562-574. | |
− | |Has reference= | + | |
− | + | ||
}} | }} |
Revision as of 13:39, 3 April 2013
Methods and Dimensions
Has temporal scale | Long term (strategic); |
---|---|
Has spatial context | Spatial with neighborhood interrelations; |
Has spatial scale | Forest level; |
Has objectives dimension | Multiple |
Has goods and services dimension | Market non wood products;Market wood products;Non market services; |
Has decision making dimension | More than one decision maker/stakeholder; |
Has risk/uncertainty analysis | no |
Has advantages | AHP is a relatively simple and transparent method which is an advantage in participatory planning. |
Has disadvantages | Using the standard AHP with pairwise comparisons of both criteria and alternatives may be cognitively demanding to the DM(s) with a larger number of criteria and alternatives. In turn, this may lead to inconsistency in preferences. |
Has main contraints | The number of elements to be compared at each level should probably not exceed 4-5. |
Has related method | |
Has method | |
Has submethods | |
Has detailed description of methods application in the DSS | |
Uses programming language | |
Has reference | Nordström E.-M., Eriksson Ljusk O. & Öhman K. 2010. Integrating multiple criteria decision analysis in participatory forest planning: Experience from a case study in northern Sweden. Forest Policy and Economics 12(8): 562-574. |
Has related DSS | In this paper, no full DSS was used; Web-HIPRE was used for the AHP. Since then, AHP has been implemented in the Heureka PlanEval application. |