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An R package for hybrid uncertainty analysis in natural and environmental risk assessments using probability, imprecise probability and possibility distributions.

Abstract : Uncertainty analysis is an unavoidable risk assessment task (for instance for natural hazards, or for environmental issues). In situations where data are scarce, incomplete or imprecise, the systematic and only use of probabilities can be debatable. Over the last years, several alternative mathematical representation methods have been developedto handle in a more flexible manner the lack of knowledge related to input parameters of risk assessment models. This article presents an R package HYRISK dedicated to jointly handling different mathematical representation tools, namely probabilities, possibility distributions and probability functions with imprecise parameters, for the different stages of uncertainty treatment in risk assessments (i.e. uncertainty representation, propagation, sensitivity analysis and decision-making). We support the description using the case study of a dike stability analysis. The package is available at: https://cran.r-project.org/web/packages/HYRISK/index.html.
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https://hal-brgm.archives-ouvertes.fr/hal-01863418
Contributeur : Jérémy Rohmer <>
Soumis le : mardi 28 août 2018 - 14:36:04
Dernière modification le : vendredi 3 juillet 2020 - 03:44:45

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  • HAL Id : hal-01863418, version 1

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Jeremy Rohmer, Jean-Charles Manceau, Dominique Guyonnet, Faïza Boulahya, Didier Dubois. An R package for hybrid uncertainty analysis in natural and environmental risk assessments using probability, imprecise probability and possibility distributions.. EGU 2018 - European Geosciences Union General Assembly 2018, Apr 2018, Vienne, France. ⟨hal-01863418⟩

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