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| 008 | 151027s2015 gw | s |||| 0|eng d | ||
| 020 | _a9783319235226 | ||
| 024 | 7 |
_a10.1007/978-3-319-23522-6 _2doi |
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| 050 | 4 | _aQH545.F67 | |
| 082 | 0 | 4 | _223 |
| 100 | 1 |
_aKangas, Annika. _984316 _0Local |
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| 245 | 1 | 0 |
_aDecision Support for Forest Management _cby Annika Kangas, Mikko Kurttila, Teppo Hujala, Kyle Eyvindson, Jyrki Kangas. |
| 250 | _a2nd ed. 2015. | ||
| 260 |
_aCham, Switzerland _bSpringer _c2015 |
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| 300 |
_a1 recurso en línea (XIII, 307 p.) _b70 ilustraciones, 11 ilustraciones en color |
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| 336 |
_aTexto (visual) _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 1 |
_aManaging Forest Ecosystems _x1568-1319 _v30 |
|
| 505 | 0 | _a1. Planning and Decision Support -- 2. Forest Management Planning -- 3. Single-Criteria Problems -- 4. Multi-Criteria Decision Problems -- 5. Uncertainty in Multi-Criteria Decision Making -- 6. Linear Programming and its Extensions in Forest Planning -- 7. Heuristic Optimisation -- 8. Uncertainty in Optimisation -- 9. Participatory Planning and Group Decision Making -- 10. Voting Methods -- 11. Participatory Planning Processes in Action -- 12. Behavioral Aspects -- 13. Final Remarks. | |
| 520 | _aThis book offers a thorough review and explanation of decision support methods and tools, and shows how these are best applied to a wide range of situations in the practice of sustainable forest management. The goal is to provide both students and working forest managers a toolbox of methods covering most of the decision situations encountered in practice. The first chapter introduces basic concepts of planning, decision making and decision support. Chapter Two explores forest management as a planning problem, including definitions of sustainability, the development of approaches to optimisation; approaches to multi-criteria decisions; and the need for participatory planning. The third chapter covers single-criteria problems, showing how to measure utility and value, how to assess risk, and how to estimate a value function. A chapter on multi-criteria problems delves deeply into decision modelling, utility functions including SMART and TOPSIS, Analytic Hierarchy Process and more. Chapter Five addresses uncertainty in multi-criteria decision making, introducing fuzzy set theory, outranking methods such as PROMETHEE and ELECTRE, and probabilistic uncertainty using Stochastic Multicriteria Acceptability Analysis (SMAA). Chapter Six discusses linear programming and its extensions in forest planning. Chapters Seven and Eight go deeper still, discussing heuristic optimisation and uncertainty in optimisation. Chapter Nine address group decision making and participatory planning, including the roles of decision makers, stakeholders and facilitators. Chapter Ten addresses voting as a group decision making tool. Chapter Eleven examines participatory planning processes in action, as applied to specific contexts in forest management planning. Chapter Twelve is devoted to behavioural aspects of planning, decision making and participation, including concepts as â€s̃atisficingâ€{u0BF2} Âǵroupthinkâ€{uE814}he concluding chapter offers the authorsâ€{u0A6E}sights on how all these concepts, tools and practices reflect the three worlds: material, personal and social. 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. | ||
| 650 | 7 |
_aToma de decisiones _0LocalX _2embne _9141176 |
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| 650 | 7 |
_aOrdenación de montes _0LocalX _2embne _9154183 |
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| 650 | 7 |
_aDesarrollo sostenible _0LocalX _2embne _9405551 |
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| 700 | 1 |
_aKurttila, Mikko. _993986 _0Local |
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| 700 | 1 |
_aHujala, Teppo _0Local _993987 |
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| 700 | 1 |
_aEyvindson, Kyle _0Local _993988 |
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| 700 | 1 |
_aKangas, Jyrki _0Local _993989 |
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