Skip to main content

Representation of Risk Scenarios via Euler Diagrams

  • Conference paper
Probabilistic Safety Assessment and Management
  • 26 Accesses

Abstract

A risk analysis begins with the identification and classification of initiating events. We address the application of Euler Diagrams to guide database queries and to determine when an evolving set of initiating events effectively spans the systems and situation of interest.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kaplan S. and Garrick B.J. On the quantitative definition of risk, Risk Analysis, 1981; 1(1): 10–27 Sharit J. A modeling framework for exposing risks in complex systems, Risk Analysis, 2000; 20(4)

    Article  Google Scholar 

  2. Lambert J., Haimes Y., Li D., Schooff R., and Tulsiani V. Identification, ranking, and management of risks in a major system acquisition, J. of Reliability Engineering and System Safety, 2001; 72(3): 315–325

    Article  Google Scholar 

  3. Haimes Y., Matalas N., Lambert J., Jackson B. and Fellows J. Reducing vulnerability of water supply systems to attack, J. of Infrastructure Systems, 1998; 4(4): 164–177

    Article  Google Scholar 

  4. Kaplan S., Haimes Y.Y., and Garrick B. J. Fitting hierarchical holographic modeling into the theory of scenario structuring and a resulting refinement to the quantitative definition of risk, Risk Analysis, 2001; 21(5): 807–819

    Article  Google Scholar 

  5. Wei, B. A unified approach to failure mode, effects and criticality analysis, Proceedings of the Annual Reliability and Maintainability Symposium, IEEE Reliability Society, 1991

    Google Scholar 

  6. Kaplan, S. Finding failures before they find us: An introduction to the theory of scenario structuring and the method of anticipatory failure determination, Proceedings of the Ninth Symposium on Quality Function Deployment, 1997; Ann Arbor, MI, QFD Institute

    Google Scholar 

  7. Kuzminski, P., Eisele J.S., Garber N., Schwing R., Haimes Y.Y., Li D., Chowdhury M. Improvement of highway safety I: Identification of causal factors through fault-tree modeling, J. of Risk Analysis, 1995; 15(3): 293–312

    Article  Google Scholar 

  8. Basilio R.R., Plourde K.S., Lam T. A systematic risk management approach employed on the CloudSat project, Aerospace Conference, IEEE Proceedings, 2001; Vol. 1: 469–479

    Google Scholar 

  9. Lambert J., Patterson C. Prioritization of schedule dependencies in hurricane recovery of transportation agency, J. of Infrastructure Systems, 2002; 8(3): 103–111

    Article  Google Scholar 

  10. Scheringer M., Vogl T., Grote J., Capaul B., Schubert R., Hungerbuhler K. Scenario based risk assessment of multi-use chemicals: Application to Solvents, J. of Risk Analysis, 2001; 21(3): 481–486

    Article  Google Scholar 

  11. Harel D. On Visual Formalisms, Communications of the ACM, 1998; 31(5): 514–530

    Article  MathSciNet  Google Scholar 

  12. Halpin T. Information modeling and relational databases, Morgan Kaufmann, New York, 2001

    Google Scholar 

  13. Schmidt C.F. Euler diagrams and quantified expressions, www.rci.rutgers.edu/∼cfs/305_html/Deduction?EulerDiags.html, 2003

    Google Scholar 

  14. Haimes, Y., B. Horowitz, J. Lambert, and J. Monahan. Risk-Based Methodological Framework for Scenario Tracking and Intelligence Collection and Analysis for Terrorism. Research effort sponsored by the National Science Foundation, 2003 through 2006.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag London

About this paper

Cite this paper

Lambert, J.H., Sarda, P. (2004). Representation of Risk Scenarios via Euler Diagrams. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_504

Download citation

  • DOI: https://doi.org/10.1007/978-0-85729-410-4_504

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics