Skip to main content

Environmental Risk and Territorial Compatibility: A Soft Computing Approach

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2859))

Abstract

The presence of risky establishments in urban areas is one of the most dangerous factor that the environmental planners have to consider to the end of a safe, compatible development of these part of the cities. The discrimination between acceptable and not acceptable risk is a central problem of this field. Particularly, in regard to the territorial risk analysis, the Italian law prescribes a methodology based on strict quantitative thresholds in order to separate acceptable risk from unacceptable one. This method might introduce some problems for those cases connected to the safety limit. The proximity depends on both the vulnerability indicator of the target, and on the distance from the limit of the damage-area. In both the cases, the fuzzy logic approach offers a good solution to the delicate question “how safe the target is?” by introducing a smoothing degree of compatibility rather than the use of rigid and pre-defined thresholds. By using fuzzy thresholds for each variable, we can compute a soft measure of compatibility between the target and the risk source. We underline the compensatory properties of this approach which improves the system currently in use.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hazard evaluation procedures, Battelle Columbus Division for The Centre for Chemical Process Safety of the American Institution of Chemical Engineers (1985)

    Google Scholar 

  2. Manzo, R., et al.: Pianificazione del territorio e rischio tecnologico- il D.M. 9 maggio 2001. CELID, Italian Ministry of Infrastructures and Trasports (2002)

    Google Scholar 

  3. Greco, S., Matarazzo, B., Slowinski, R.: Rought sets theory for multicriteria decision analysis. European Journal of Operational Research 129, 1–41 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  4. Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms. Kluwer Academic Publishers, Dordrecht (2000)

    MATH  Google Scholar 

  5. Mock, R., Gheorghe, A.: Risk engineering: bridging risk analysis with stakeholders values. Kluwer Academic Publishers, Dordrecht (1999)

    Google Scholar 

  6. Mock, R., Krause, J.P., Gheorghe, A.: Assessment of risk from technical systems: integrating fuzzy logic into the Zurich hazard analysis method. International Journal of Environment and Pollution 5(2/3) (1995)

    Google Scholar 

  7. Munda, G.: Fuzzy information in multicriteria environmental evaluation models. EUR 15602 EN, Ispra, Italy (1994)

    Google Scholar 

  8. Nakayama, H., Tanino, T., Matsumoto, K., Matsuo, H., Inoue, K., Eawaragi, Y.: Methodology for group decision making with an application to assessment of residential environment. IEEE Trans. of Systems, Man and Cybernet. 9, 477–485 (1979)

    Article  MATH  Google Scholar 

  9. Paruccini, M.: Decision support systems in the service of policy makers, Final Report of the POP Sicily, contract n. 10122-94-03 T1PC ISP I, Ispra, Italy (1996)

    Google Scholar 

  10. Von Altrock, C.: Fuzzy logic and neurofuzzy applications explained. Prentice Hall, New York (1995)

    Google Scholar 

  11. Zimmermann, H.J.: Fuzzy sets, decision making and expert systems. Kluwer Academic Publishers, Boston (1993)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Giove, S., Basta, C. (2003). Environmental Risk and Territorial Compatibility: A Soft Computing Approach. In: Apolloni, B., Marinaro, M., Tagliaferri, R. (eds) Neural Nets. WIRN 2003. Lecture Notes in Computer Science, vol 2859. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45216-4_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45216-4_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20227-1

  • Online ISBN: 978-3-540-45216-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics