Descripción
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This paper describes the application of Bayesian Networks (hereafter Bns) to the development of long term water management strategies in the Upper Guadiana basin. Bns are decision support systems that have long been used in other disciplines, such as medicine and artificial intelligence, and more recently in natural resources management (MERIT project: Bromley 2005). They are based on probability theory which implements Bayes¿ rule of probability. Bns organise the body of knowledge in a given area by mapping out cause¿effect relationships among key variables and encoding them with numbers that represent the extent to which one variable is likely to affect another. Bns are based on the concept of conditional probability and have proved to be a powerful technique to model complex problems where there is uncertainty about the state of the system being modelled, and the data relating to that system. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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ECOLOGY AND SOCIETY |
ISSN
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1708-3087 |
Factor de impacto JCR
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1,735 |
Información de impacto
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Volumen
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DOI
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Número de revista
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Desde la página
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1 |
Hasta la página
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20 |
Mes
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ENERO |
Ranking
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