Titlebook: Decision Support for Forest Management; Annika Kangas,Mikko Kurttila,Jyrki Kangas Book 2015Latest edition Springer International Publishin

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书目名称Decision Support for Forest Management影响因子(影响力)




书目名称Decision Support for Forest Management影响因子(影响力)学科排名




书目名称Decision Support for Forest Management网络公开度




书目名称Decision Support for Forest Management网络公开度学科排名




书目名称Decision Support for Forest Management被引频次




书目名称Decision Support for Forest Management被引频次学科排名




书目名称Decision Support for Forest Management年度引用




书目名称Decision Support for Forest Management年度引用学科排名




书目名称Decision Support for Forest Management读者反馈




书目名称Decision Support for Forest Management读者反馈学科排名

救护车

On the Foundations of Robust Decision Makingic information collected and utilised though participatory GIS systems. Finally, we present how the multi-criteria analysis methods and tools presented previously can be utilised as group decision support in stakeholder working groups.

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佛刊

Participatory Planning Processes in Actionic information collected and utilised though participatory GIS systems. Finally, we present how the multi-criteria analysis methods and tools presented previously can be utilised as group decision support in stakeholder working groups.

Acquired

Introductiont are the aims of planning as a process. We describe the phases decision situations typically involve. We describe the different views for studying decision-making, i.e. the descriptive view, which studies decisions as people make them, and normative view, which studies the ways that may help in mak

accomplishment

Forest Management Planningand managers need to take decisions which can deal with a variety of spatial and temporal scales, from one stand and short time period up to the national level and very long time horizons. Forest management decisions also have an impact on many ecosystem services. Therefore, decision-making must be

accomplishment

Single-Criterion Problemssingle-goal case, as well as the differences between these two approaches. We describe how normalisation of forest information can also be interpreted as a value function. We describe the concept of uncertainty and risk and the classical criteria of decision-making under risk or uncertainty. We also

旅行路线

Multi-criteria Decision Problemselevant set of criteria and their potential sub-criteria. In this chapter, a definition for such a good set of criteria is provided. It is also important to design good decision alternatives. Therefore, hints on how to produce these alternatives are given. Another important aspect in multi-criteria

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Optimisation, such as the requirement of even flow of timber over time. It can also be used to deal with multiple goals, by using a constraint approach and Pareto front or by using a goal programming approach. Integer or mixed integer programming can also be used to deal with many spatial goals and constraints,