The Analytic Hierarchy Process In Natural Resource And Environmental Decision Making

Download The Analytic Hierarchy Process In Natural Resource And Environmental Decision Making PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get The Analytic Hierarchy Process In Natural Resource And Environmental Decision Making book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making

Author: Daniel Schmoldt
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-11-11
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.
Decision Support for Forest Management

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.