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

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Uncertainty in Optimisationrmulating forest management planning problems, and it produces solutions that have a better expected value than the deterministic solutions. In this chapter, we present the linear and goal programming problems from the previous chapter using stochastic programming approach and deterministic equivale

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Voting Methodsoices – the main difference between group multi-criteria analysis and voting typically is that in voting the judgments are carried out holistically, without decomposing the problem to criteria. Because of the similarities behind group decision-making and voting, there are also several decision suppo

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Participatory Planning Processes in Actionrk to preparing of national forest programmes. We also discuss the decision support methods and tools required for handling a participatory planning process. Planning problems with several decision-makers are often messy. Such cases require problem structuring methods, where the perceptions and char

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Behavioural Aspects expects but rather following rules. We discuss the approaches that describe decision analysis from the behavioural point of view and emphasise that while people without aid do not necessarily maximise their utility, they might make better (i.e. closer to the maximum utility) decisions when aided. D

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Single-Criterion Problems describe risk attitude and its relation to the utility function. We then describe and present comprehensible examples on how a single-variable utility function or value function is estimated and interpreted.

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Group Decision-Making and Participatory Planning different levels of participation and discuss how a suitable participation process for different types of planning cases could be designed. We discuss the importance of facilitation and describe different facilitator roles in supporting group decision-making. We also present criteria that may be used to measure the success of participation.

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Behavioural Aspectsecision support based on the image theory is presented as one possible solution in combining the behavioural and decision aid viewpoints. In addition, the chapter introduces some most prevalent biases and distortions (e.g. framing effect, groupthink) that may appear and ought to be mitigated in participatory and group decision-making settings.