A Hybrid (Stochastic and Fuzzy) Methodology for Safety and Risk Assessment

  • J. A. Cooper
Conference paper

Abstract

Probabilistic safety assessments (PSAs) and decision-support risk analyses frequently depend on data that are stochastically variable or subjectively uncertain. Probabilistic calculus approaches have been available to process stochastic variability data. There are now approaches using fuzzy mathematics for processing subjective uncertainty data. The incompatibilities in combining these approaches make hybrid analysis challenging. We have now developed a technique for performing hybrid (stochastic along with subjective) safety and risk analysis.

Keywords

Assure Convolution 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Breeding R, Helton JC, Gorham ED. Summary description of the methods used in the probabilistic risk assessments for NUREG-1150. Nuclear Engineering and Design 135: 1-27Google Scholar
  2. 2.
    Cooper JA. Fuzzy algebra uncertainty analysis for abnormal-environment safety assessment. Journal of Intelligent and Fuzzy Systems 1994; 2: 337–345Google Scholar
  3. 3.
    Henrion M, Fischhoff B. Assessing uncertainty in physical constants. American Journal of Physics, 54 No. 9: 791–798Google Scholar
  4. 4.
    Morgan MG, Henrion M. Uncertainty. Cambridge University Press, NY 1990Google Scholar
  5. 5.
    Ross T. Fuzzy Logic with Engineering Applications. McGraw-Hill, NY 1995Google Scholar
  6. 6.
    Kaufmann A, Gupta M. Introduction to Fuzzy Arithmetic 1991. Van Nostrand ReinholdGoogle Scholar

Copyright information

© Springer-Verlag London 1996

Authors and Affiliations

  • J. A. Cooper
    • 1
  1. 1.Sandia National LaboratoriesAlbuquerqueUSA

Personalised recommendations