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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 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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