HYRISK: Hybrid Methods for Addressing Uncertainty in RISK Assessments

Methods for addressing uncertainty in risk assessments using hybrid representations of uncertainty (probability distributions, fuzzy numbers, intervals, probability distributions with imprecise parameters). The uncertainty propagation procedure combines random sampling using Monte Carlo method with fuzzy interval analysis of Baudrit et al. (2007) <doi:10.1109/TFUZZ.2006.876720>. The sensitivity analysis is based on the pinching method of Ferson and Tucker (2006) <doi:10.1016/j.ress.2005.11.052>.

Package details

AuthorJeremy Rohmer, Jean-Charles Manceau, Dominique Guyonnet, Faiza Boulahya
MaintainerJeremy Rohmer <[email protected]>
LicenseGPL-3
Version1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("HYRISK")

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HYRISK documentation built on May 30, 2017, 3:55 a.m.