Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/42858
Título: AHP approach applied to multi-criteria decisions in environmental fragility mapping
Palavras-chave: Planejamento ambiental
Manejo de ecossistemas
Sistemas de informações geográficas
Pesquisa operacional
Environmental planning
Management of ecosystems
Geographic information systems
Operational research
Data do documento: Jul-2020
Editor: Universidade Federal do Paraná
Citação: FRANÇA, L. C. de J. et al. AHP approach applied to multi-criteria decisions in environmental fragility mapping. Floresta, Curitiba, v. 50, n. 3, p. 1623-1632, jul./set. 2020.
Resumo: Geographic Information System tools, combined with mathematical methods for complex geospatial scientific investigations, are essential for environmental zoning. Among these tools, environmental fragility models evaluate criteria related to the physical attributes of the landscape to ensure multi-disciplinarity of the information plans used in a study. However, questions are raised on the priority allotted to each criterion or environmental factor within a multi-criteria analysis model. In this sense, the analytic hierarchy process is another mathematical model that is used in decision theory, which sorts criteria hierarchically. This study aims to use the AHP method as a tool to support multi-criteria decision making as applied to environmental fragility mapping, using the Jequitinhonha River Basin, Minas Gerais, Brazil, as a case study. The application of the AHP method provided a hierarchy of five important environmental criteria for the environmental fragility mapping. The use of AHP allowed the modeling of empirical evaluations in mathematically consistent results, to provide better conciseness in geospatial processes. Therefore, it is an adequate method to minimize subjectivity in environmental and territorial planning. It can also help the management of priority zones for conservation, preservation, or ecological restoration.
URI: http://repositorio.ufla.br/jspui/handle/1/42858
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