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

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Two-Person Non-Constant Sum Gameswhat type of decision support methods and tools suit different purposes, and what aspects need to be taken into account when making method choices. We conclude the chapter with summarising the most prevalent challenges in the development and use of decision support methods and tools for advancing multiple-purpose forestry.
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Heuristic Optimisationenetic algorithms, simulated annealing and tabu search. Additionally, we describe for what sort of planning cases the different methods might be suitable and what are the benefits and drawbacks of those methods in forest planning.
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https://doi.org/10.1007/978-1-4615-5625-1zy numbers and fuzzy weighting, outranking methods based on fuzzy preference relations and stochastic multi-criteria acceptability analysis based on probability distributions. We discuss the drawbacks and benefits of these different approaches for forest management.
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