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The Analytic Hierarchy Process In Natural Resource And Environmental Decision Making 1st Edition Daniel L Schmoldt

  • SKU: BELL-4626652
The Analytic Hierarchy Process In Natural Resource And Environmental Decision Making 1st Edition Daniel L Schmoldt
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The Analytic Hierarchy Process In Natural Resource And Environmental Decision Making 1st Edition Daniel L Schmoldt instant download after payment.

Publisher: Springer Netherlands
File Extension: PDF
File size: 9.11 MB
Pages: 307
Author: Daniel L. Schmoldt, Jyrki Kangas (auth.), Daniel L. Schmoldt, Jyrki Kangas, Guillermo A. Mendoza, Mauno Pesonen (eds.)
ISBN: 9789048157358, 9789401597999, 9048157358, 9401597995
Language: English
Year: 2001
Edition: 1

Product desciption

The Analytic Hierarchy Process In Natural Resource And Environmental Decision Making 1st Edition Daniel L Schmoldt by Daniel L. Schmoldt, Jyrki Kangas (auth.), Daniel L. Schmoldt, Jyrki Kangas, Guillermo A. Mendoza, Mauno Pesonen (eds.) 9789048157358, 9789401597999, 9048157358, 9401597995 instant download after payment.

Decision making in land management involves preferential selection among competing alternatives. Often, such choices are difficult owing to the complexity of the decision context. Because the analytic hierarchy process (AHP, developed by Thomas Saaty in the 1970s) has been successfully applied to many complex planning, resource allocation, and priority setting problems in business, energy, health, marketing, natural resources, and transportation, more applications of the AHP in natural resources and environmental sciences are appearing regularly. This realization has prompted the authors to collect some of the important works in this area and present them as a single volume for managers and scholars. Because land management contains a somewhat unique set of features not found in other AHP application areas, such as site-specific decisions, group participation and collaboration, and incomplete scientific knowledge, this text fills a void in the literature on management science and decision analysis for forest resources.

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