Difference between revisions of "Test"

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{{Methods and Dimensions
 
{{Methods and Dimensions
|Has temporal scale=Short term (operational)
+
|WikiPageTitle=test
|Has spatial context=Spatial with neighbourhood interrelations
+
|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=Single objective
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|Has spatial context=Spatial with neighborhood interrelations;
|Has goods and services dimension=Market non-wood products
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|Has spatial scale=Forest level;
|Has decision making dimension=More than one decision maker
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|Has decision making dimension=More than one decision maker/stakeholder;
|Has risk/uncertainty analysis=Tes
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|Has objectives dimension=Multiple
|Has advantages=Test
+
|Has goods and services dimension=Market non wood products;Market wood products;Non market services;
|Has disadvantages=Test
+
|Has risk/uncertainty analysis=no
|Has main contraints=Test
+
|Has advantages=AHP is a relatively simple and transparent method which is an advantage in participatory planning.
|Has related DSS development=CONES.Description of 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 method=Test
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|Has main contraints=The number of elements to be compared at each level should probably not exceed 4-5.
|Has submethods=Test
+
|Has related DSS development=
|Has detailed description of methods application in the DSS=Test
+
|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=ast
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|Has related DSS=AVVIRK-2000
+
 
}}
 
}}

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.