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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/22139
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Title: | Uma Abordagem Baseada na Programação Por Metas Para a Gestão de Sistemas Agroflorestais Com Múltiplos Stakeholders |
Authors: | Xavier, António Costa-Freitas, Belém Fragoso, Rui Rosário, Scorro |
Keywords: | forest management agricultural management group decision making processes, goal programming, forest intervention zones group decision forest management, agricultural ma goal programming |
Issue Date: | 2017 |
Citation: | Xavier, A., Costa Freitas, M. B., Fragoso, R. & Rosário, M. S. (2017) “Uma abordagem baseada na programação por metas para a gestão de sistemas agroflorestais com múltiplos stakeholders” Revista Portuguesa de Estudos Regionais, 46, p. 57-70. http://www.apdr.pt/siterper/numeros/RPER46/46.4.pdf |
Abstract: | Public concern about the environment has
rapidly growing regarding participatory decision-
making. However, the large number of
stakeholders involved include diverse opinions,
which are often in conflict, regarding different
decision criteria. To solve this problem, it’s
proposed using an innovative mathematical
participatory decision model based on goal
programming that allows simulating situations
that value the majority or the minority consensus
of the stakeholders involved. The model
was applied to a Forest Intervention Zone
(ZIF) located within the Algarve region,
southern Portugal. Three key criteria for the
decision were considered: economic result,
biodiversity and fire risk. The results showed
that the proposed methodology allows simulating
situations that value consensus of the
majority or the minority, as well as the trade off and intermediate situations between the two
extremes. |
URI: | http://hdl.handle.net/10174/22139 |
Type: | article |
Appears in Collections: | MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica GES - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica CEFAGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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