The goal of Kangas, Kangas & Kurttila's Decision Support for Forest Management is to provide students and researchers with a toolbox of methods for approaching the different planning situations that may arise in practice. It draws together a wide range of methods used in planning forest management regimes and presents a systematic overview of current methodological approaches. While earlier books concerning forest planning have tended to focus on linear programming, economic aspects, or specific multi-criteria decision aid tools, this bookprovides a much broader range of tools to meet a variety of planning situations. The methods themselves cover a range of decision situations - from cases involving single decision makers, through group decision making, to participatory planning. They include traditional decision support tools, from optimization to utility functions, as well as methods that are just gaining ground in forest planning - such as problem structuring methods and social choice theory. No other book includes methodology for all aspects of forest planning, ranging from operations research methodology to ethical aspects of participation Comprehensive list and assessment of models and methods for forest management planning. No other textbook covers so many approaches and techniques Integration ofmulti-criteria topics Chapters 8, 10 and 11 are unique INDICE: 1. Introduction. 2. Unidimensional problems.- 3. Multi-criteria decision problems.- 4. Uncertainty in multi-criteria decision making.- 5. Optimization.- 6. Heuristic optimization.- 7. Group decision making and participatory planning.- 8. Voting methods.- 9. Behavioural aspects.- 10. Practical examples of using MCDS methods.- 11. Final remarks.
- ISBN: 978-1-4020-6786-0
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 240
- Fecha Publicación: 01/03/2008
- Nº Volúmenes: 1
- Idioma: Inglés