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This updated and expanded second edition adds the most recent advances in participatory planning approaches and methods, giving special emphasis to decision support tools usable under uncertainty. The new edition places emphasis on the selection of criteria and creating alternatives in practical multi-criteria decision making problems.
1. Planning and Decision Support.- 1.1. What Is Planning?- 1.2. Phases of Decision Making.- 1.3. Classification of Planning Problems.- References.- 2. Forest Management Planning.- 2.1. Forest Management as a Planning Problem.- 2.2. Stand-Level Forest Planning.- 2.3 Development of Sustainable Forest Management Planning Approaches.- 2.3.1 Definitions of Sustainability.- 2.3.2 Fully Regulated Forestry.- 2.3.3 Development Of Optimisation Approaches.- 2.3.4 Development Of Multi-Criteria Approaches.- 2.3.5 Need For Participatory Planning.- References.- 3. Single-Criteria Problems.- 3.1. Decisions Under Risk and Uncertainty.- 3.2. Measuring Utility and Value.- 3.2.1 Estimating a Utility Function.- 3.2.2 Risk Attitude.- 3.2.3 Estimating a Value Function.- References.- 4. Multi-Criteria Decision Problems.- 4.1. Decision Model.- 4.1.1. Objectives and Decision Criteria.- 4.1.2 Selecting the Set of Criteria.- 4.1.3 Designing Alternatives.- 4.1.4 Indifference, Preference and Tradeoff.- 4.1.5 Dominance.- 4.2. Multi-Attribute Utility Functions.- 4.2.1 Function Forms.- 4.2.2 Basis For Estimating The Weights.- 4.2.3 SMART.- 4.2.4 TOPSIS.- 4.2.5 Cautionary Note of Weighting Methods.- 4.3. Analytic Hierarchy Process.- 4.3.1 Decision Problem.- 4.3.2 Phases of AHP.- 4.3.3 Uncertainty in AHP.- 4.4. ANP.- 4.5. Even Swaps.- 4.6. A'WOT.- References.- 5. Uncertainty in Multi-Criteria Decision Making.- 5.1. Nature of Uncertainty.- 5.2. Fuzzy Set Theory.- 5.2.1 Membership Functions and Fuzzy Numbers.- 5.2.2. Fuzzy Goals in Decision Making.- 5.2.3. Fuzzy Additive Weighting.- 5.3. Outranking Methodló&
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