ISBN: 9781402067860
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2008, ISBN: 9781402067860
PThe goal of Kangas, Kangas and Kurttila's EMDecision Support for Forest Management/EM is to provide students and researchers with a toolbox of methods for approaching the different plann… Meer...
2008
ISBN: 9781402067860
PThe goal of Kangas, Kangas and Kurttila's EMDecision Support for Forest Management/EM is to provide students and researchers with a toolbox of methods for approaching the different plann… Meer...
Decision Support for Forest Management (Managing Forest Ecosystems) - gebonden uitgave, pocketboek
2008, ISBN: 1402067860
[EAN: 9781402067860], New book, [SC: 7.78], [PU: Springer], Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. Buy with confidence, excellent customer service!
Decision Support for Forest Management (Managing Forest Ecosystems) - gebonden uitgave, pocketboek
2008, ISBN: 9781402067860
Hardcover, Used, Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service., [PU: Springer]
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Gedetalleerde informatie over het boek. - Decision Support for Forest Management
EAN (ISBN-13): 9781402067860
ISBN (ISBN-10): 1402067860
Gebonden uitgave
Verschijningsjaar: 2008
Uitgever: Springer-Verlag GmbH
224 Bladzijden
Gewicht: 0,534 kg
Taal: eng/Englisch
Boek bevindt zich in het datenbestand sinds 2008-05-03T16:10:03+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2022-02-06T22:41:16+01:00 (Amsterdam)
ISBN/EAN: 9781402067860
ISBN - alternatieve schrijfwijzen:
1-4020-6786-0, 978-1-4020-6786-0
alternatieve schrijfwijzen en verwante zoekwoorden:
Titel van het boek: supp, man forest, decision, the forest, management support
Gegevens van de uitgever
Auteur: Annika Kangas; Jyrki Kangas; Mikko Kurttila
Titel: Managing Forest Ecosystems; Decision Support for Forest Management
Uitgeverij: Springer; Springer Netherland
224 Bladzijden
Verschijningsjaar: 2008-04-01
Dordrecht; NL
Gedrukt / Gemaakt in
Gewicht: 0,520 kg
Taal: Engels
106,95 € (DE)
109,95 € (AT)
143,64 CHF (CH)
Not available, publisher indicates OP
BB; Book; Hardcover, Softcover / Biologie/Landwirtschaft, Gartenbau, Forstwirtschaft, Fischerei, Ernährung; Forstwirtschaft und Waldbau: Praxis und Techniken; Verstehen; development; Forestry; modeling; linear optimization; optimization; forest; Evaluation; B; Forestry; Biomedical and Life Sciences; Forestry Management; Operations Research/Decision Theory; Environmental Management; Organization; Methodology of the Social Sciences; Forstwirtschaft und Waldbau: Praxis und Techniken; Unternehmensforschung; Management: Entscheidungstheorie; Umweltmanagement; Organisationstheorie und -verhalten; Sozialforschung und -statistik; BC; EA; BB
Preface. Acknowledgements. 1. Introduction. 1.1 Planning and decision support. 1.2 Forest management planning. 1.3 History of forest planning.- Discrete problems. 2. Unidimensional problems. 2.1 Decisions under risk and uncertainty. 2.2 Measuring utility and value. 2.2.1 Estimating a utility function. 2.2.2 Estimating a value function.- 3. Multi-criteria decision problems. 3.1 Theoretical aspects. 3.2 Multi-attribute utility functions. 3.2.1 Function forms. 3.2.2 Basis for estimating the weights. 3.2.3 SMART. 3.3 Even Swaps. 3.4 Analytic hierarchy process. 3.4.1 Decision problem. 3.4.2 Phases of AHP. 3.4.3 Uncertainty in AHP. 3.4.4 ANP. 3.5 A'WOT.- 4. Uncertainty in multi-criteria decision making. 4.1 Nature of uncertainty. 4.2 Fuzzy set theory. 4.2.1 Membership functions and fuzzy numbers. 4.2.2 Fuzzy goals in decision making. 4.2.3 Fuzzy additive weighting. 4.3 Possibility theory in decision making. 4.4 Evidence theory. 4.5 Outranking methods. 4.5.1 Outline. 4.5.2 PROMETHEE method. 4.5.3 ELECTRE method. 4.5.4 Other outranking methods. 4.6 Probabilistic uncertainty in decision analysis. 4.6.1 Stochastic multicriteria acceptability analysis (SMAA). 4.6.2 SMAA-O. 4.6.3 Pairwise probabilities.- Continuous problems. 5. Optimization. 5.1 Linear programming. 5.1.1 Primal problem. 5.1.2 Dual problem. 5.1.3 Forest planning problem with several stands. 5.1.4 JLP software. 5.2 Goal programming. 5.3 Integer programming. 5.4 Uncertainty in optimization. 5.5 Robust portfolio modelling. 5.5.1 Principles of the method. 5.5.2 Use of RPM in forest planning.- 6. Heuristic optimization. 6.1 Principles. 6.2 Objective function forms. 6.3 HERO. 6.4 Simulated annealing and threshold accepting. 6.5 Tabu search. 6.6 Genetic algorithms. 6.7 Improving the heuristic search. 6.7.1 Parameters of heuristic optimisation techniques. 6.7.2 Expanding the neighbourhood. 6.7.3 Combining optimisation techniques.- Cases with several decision makers. 7. Group decision making and participatory planning. 7.1 Decision makers and stakeholders. 7.2 Public participation process. 7.2.1 Types of participation process. 7.2.2 Success of the participation process. 7.2.3 Defining the appropriate process. 7.3 Tools for eliciting the public preferences. 7.3.1 Surveys. 7.3.2 Public hearings. 7.4 Problem structuring methods. 7.4.1 Background. 7.4.2 Strategic options development and analysis (SODA). 7.4.3 Soft systems methodology (SSM). 7.5 Decision support for group decision making.- 8. Voting methods. 8.1 Social choice theory. 8.1.1 Outline. 8.1.2 Evaluation criteria for voting systems. 8.2 Positional voting schemes. 8.2.1 Plurality voting. 8.2.2 Approval voting. 8.2.3 Borda count. 8.3 Pairwise voting. 8.4 Fuzzy voting. 8.5 Probability voting. 8.6 Multicriteria approval. 8.6.1 Original method. 8.6.2 Fuzzy MA. 8.6.3 Multicriteria approval voting.- Application viewpoints. 9. Behavioural aspects. 9.1 Criticism towards decision theory. 9.1.1 Outline. 9.1.2 Satisficing or maximizing?. 9.1.3 Rules or rational behaviour?. 9.2 Image theory. 9.3 Prospect theory.- 10. Practical examples of using MCDS methods. 10.1 Landscape ecological planning. 10.2 Participatory planning. 10.3 Spatial objectives and heuristic optimisation in practical forest planning.- 11. Final remarks.-Andere boeken die eventueel grote overeenkomsten met dit boek kunnen hebben:
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