Open Access
Issue
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Article Number 03019
Number of page(s) 6
Section Performance and behaviour of flood defences
DOI https://doi.org/10.1051/e3sconf/20160703019
Published online 20 October 2016
  1. Vuillet M., Peyras L., Carvajal C., Serre D., Diab Y., (2013). “Levees performance evaluation based on subjective probability”. European Journal of Environment and Civil Engineering, Volume 17, issue 5/2013, pp 329–349. [CrossRef]
  2. Kahneman. D., Slovic P., Tversky A. (1982). «Judgement under Uncertainty, Heuristics and Biaises». Cambridge University Press, Cambridge. [CrossRef]
  3. Morgan M.G., Henrion M. (1990). Uncertainty, a guide to dealing with uncertainty in quantitative risk and policy analysis, Cambridge University Press. [CrossRef]
  4. O’Hagan A., Buck C. E., Daneshkah A., Eiser J. R., Garthwaite P.H., Jenkinson D.J., Oakley J.E., Rakow T. (2006). Uncetains Judgments : Eliciting Experts’ Probabilities, West Sussex, UK, 338 p.
  5. Cooke R. (1991). «Experts in uncertainty: opinion and subjective probability in science». Oxford University Press, 336 p.
  6. Cooke R.M., Goosens L. (2000). “Nuclear science and technology. Procedure guide for structured expert judgment”. Report to European commission. S. P. N. F. S. 1994-98, Luxembourg Ruratom. Project report EUR 18820EN.
  7. Meyer M.A., Booker. J.M. (1993). «Eliciting and Analyzing Expert Judgment: A practical Guide», ASA-SIAM Series on Statistics and Applied Probability.
  8. Ortiz N.R., Wheeler T.A., Breeding R. J., Hora S., Meyer M.A., Keeney R.L. (1991). “Use of Expert Judgment in NUREG-1150” Nuclear Engineering and Design, Volume 126, pp. 313–331. [CrossRef]
  9. Muffat S. (2005). «Professionnalisation du recueil des avis d’experts pour l’analyse des risques», Note EDF HT-52/05/023/A.
  10. Pietrocatelli S. (2008). «Analyse bayésienne et élicitation d’opinion d’experts en analyse de risqué et particulièrement dans le cas de l’amiante chrysotile ». Mémoire de master, Université de Montréal, 110p.
  11. Banton O. et Bangoy L. M. (1997) : Hydrogéologie : Multi-science environnementale des eaux souterraines. Université du Québec / AUPELF, 460p.
  12. Vuillet M. (2012). «Elaboration d’un modèle d’aide à la décision basé sur une approche probabiliste pour l’évaluation de la performance des digues fluviales », Thèse de doctorat, Université Paris Est, Ecole doctorale Ville, transport et territoires, 391 p.
  13. Yachanin S. A.,Tweney R. D. (1982). The effect of the thematic content on cognitive strategies in the four-card selection task. Bulletin of the Psychometric Society, 19, 87–90. [CrossRef]
  14. Wood L. et Ford, J.M. (1993). « Structuring Interviews with Experts During Knowledge Elicitation », Ford et Bradshaw (dir.), Knowledge Acquisition as Modeling, New York, John Wiley and Sons Inc.
  15. Castany G. (1982) : Principes et méthodes de l’hydrogéologie. Université de Pierre et Marie Crue (Paris VI), 233p.
  16. Fauchard C., Mériaux P. (2004). Méthodes géophysiques et géotechniques pour le diagnostic des digues de protection contre les crues. Guide pour la mise en oeuvre et l’interprétation. Cemagref Editions, 124 p.
  17. Bouchon-Meunier B. (1995). La logique floue et ses applications. Addison-Wesley, 254 p.
  18. Serre D., Peyras L., Tourment R., Diab Y., (2008), levee performance assessment: development of a GIS tool to support planning maintenance actions, journal of infrastructure system, asce, Vol. 14, issue 3, pp. 201–213. [CrossRef]

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