Skip to main content
SpringerLink
Log in
Book cover

Intelligence Systems in Environmental Management: Theory and Applications pp 119–133Cite as

Application of Fuzzy Rules to the Decision Process in Crisis Management: The Case of the Silesian District in Poland

  • Chapter
  • First Online:

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 113))

Abstract

In this chapter, the application of fuzzy rules to crisis management is proposed. The fuzzy notions are considered in all their nuances, defined by experts. Then, the usage of fuzzy rules in the HAZOP method applied to crisis management is considered. Examples stem from the crisis management centre in a Polish district. It is shown that the proposed approach allows us to identify events with serious or even disastrous consequences, which would not have been identified otherwise.

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

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 EPUB and 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
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  • Acharyulu, P. S., & Seetharamaiah, P. (2015). A framework for safety automation of safety-critical systems operations. Safety Science, 77, 133–142.

    Article  Google Scholar 

  • Anooj, P. K. (2012). Clinical decision support system: Risk level prediction of heart disease using weighted fuzzy rules. Journal of King Saud University—Computer and Information Sciences, 24(1), 27–40.

    Article  Google Scholar 

  • Baybutt, P. (2015). A critique of the hazard and operability (HAZOP) study. Journal of Loss Prevention in the Process Industries, 33, 52–58.

    Article  Google Scholar 

  • de la O Herrera, M. A., Luna, A. S., da Costa, A. C. A., & Lemes, E. M. B. (2015). A structural approach to the HAZOP–Hazard and operability technique in the biopharmaceutical industry. Journal of Loss Prevention in the Process Industries, 35, 1–11.

    Article  Google Scholar 

  • Dubois, D., & Prade, H. (1996). What are fuzzy rules and how to use them. Fuzzy Sets and Systems, 84(2), 169–185.

    Article  MathSciNet  MATH  Google Scholar 

  • Kuchta, D., Gladysz, B., Stanek, S., & Drosio S. (2016). Risk management in critical computer systems on the example of a crisis management center (in Polish), to be published in Scientific Annals of University of Economics in Katowice.

    Google Scholar 

  • Landry, J. F., Ulmer, C., & Gomez, L. (2008). Fuzzy distributed workflows for crisis management decision makers. Intelligence and security informatics (pp. 226–236). Berlin: Springer.

    Chapter  Google Scholar 

  • Ministry of Defence. (1990). HAZOP studies on systems containing programmable electronics.

    Google Scholar 

  • Nokhbeh Foghahaayee, H., Menhaj, M. B., & Shafiee, M. (2010). Fuzzy decision support system for crisis management with a new structure for decision making. Expert Systems with Applications, 37(5), 3545–3552.

    Article  Google Scholar 

  • Nokhbeh Foghahaayee, H., Menhaj, M. B., & Torbati, H. M. (2014). Fuzzy decision support software for crisis management in gas transmission networks. Applied Soft Computing, 18, 82–90.

    Article  Google Scholar 

  • Oztaysi, B., Behret, H., Kabak, Ö., Sarı, I. U., & Kahraman, C. (2013). Fuzzy inference systems for disaster response. In B. Vitoriano, J. Montero, & D. Ruan (Eds.), Decision aid models for disaster management and emergencies (pp. 75–94). Paris: Atlantis Press.

    Chapter  Google Scholar 

  • Pirozzi, N. (2013). The EU’s comprehensive approach to crisis management. Geneva: Geneva Centre for the Democratic Control of Armed Forces.

    Google Scholar 

  • Redmill, F., Chudleigh, M. F., & Catmur, J. R. (1997). Principles underlying a guideline for applying HAZOP to programmable electronic systems. Reliability Engineering and System Safety, 55(3), 283–293.

    Article  Google Scholar 

  • Tao, C., Huabing, Z., Honglong, Z., Yufeng, Y., & Xin, W. (2012). Quantitative HAZOP risk analysis for oil tanks using the fuzzy set theory. In: Proceedings of the Biennial International Pipeline Conference, IPC (pp. 379–385).

    Google Scholar 

  • Traore, M., Chatelet, E., Soulier, E., & Gaber, H. (2014). Diagnosis using incomplete model in fuzzy discrete event system: Application to crisis management. In: Proceedings of 2014 13th International Conference on Machine Learning and Applications, ICMLA 2014 (pp. 432–440).

    Google Scholar 

  • Zadeh, L. A. (1983). A computational approach to fuzzy quantifiers in natural languages. Computers & Mathematics with Applications, 9(1), 149–184.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Wroclaw University of Technology, Wroclaw, Poland

    Dorota Kuchta & Barbara Gładysz

  2. Military Academy of Land Forces, Wroclaw, Poland

    Stanisław Stanek

  3. University of Economics, Katowice, Poland

    Stanisław Drosio

Authors
  1. Dorota Kuchta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stanisław Stanek
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Stanisław Drosio
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Barbara Gładysz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dorota Kuchta .

Editor information

Editors and Affiliations

  1. Fac. Management, Dept of Industrial Engg, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Magt Facu, Department of Industrial Engd, Istanbul Technical University, Istanbul, Turkey

    İrem Uçal Sari

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Kuchta, D., Stanek, S., Drosio, S., Gładysz, B. (2017). Application of Fuzzy Rules to the Decision Process in Crisis Management: The Case of the Silesian District in Poland. In: Kahraman, C., Sari, İ. (eds) Intelligence Systems in Environmental Management: Theory and Applications. Intelligent Systems Reference Library, vol 113. Springer, Cham. https://doi.org/10.1007/978-3-319-42993-9_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-42993-9_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42992-2

  • Online ISBN: 978-3-319-42993-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation