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Environmental risk assessment is an essential element in any decision-makingprocess in order to minimize the effects of human activities on the environment.Unfortunately, often environmental data tends to be vague andimprecise, so uncertainty is associated with any study related with these kindof data.Essentially, uncertainty in risk assessment may have two origins – randomnessand incompleteness. There are two main ways to deal with theseuncertainties – probability theory and fuzzy logic.Probability theory is based on a stochastic approach, using probabilityfunctions to describe random variability in environmental parameters.Fuzzy logic uses membership functions and linguistic parameters toexpress vagueness in environmental issues.We discuss the best way to deal with uncertainties in the environmentalfield and give examples of probabilistic and fuzzy-logic approaches appliedto environmental risk assessment.

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Autor(es)

Darbra Roman, Rosa Maria -  Eljarrat, E -  Barceló, D - 

Id.: 55266690

Idioma: inglés  - 

Versión: 1.0

Estado: Final

Palabras claveÀrees temàtiques de la UPC -  Enginyeria química -  Impacte ambiental - 

Tipo de recurso: Article  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

: Open Access

Requerimientos técnicos:  Browser: Any - 

Fecha de contribución: 06-may-2012

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