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.
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References
Acharyulu, P. S., & Seetharamaiah, P. (2015). A framework for safety automation of safety-critical systems operations. Safety Science, 77, 133–142.
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.
Baybutt, P. (2015). A critique of the hazard and operability (HAZOP) study. Journal of Loss Prevention in the Process Industries, 33, 52–58.
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.
Dubois, D., & Prade, H. (1996). What are fuzzy rules and how to use them. Fuzzy Sets and Systems, 84(2), 169–185.
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.
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.
Ministry of Defence. (1990). HAZOP studies on systems containing programmable electronics.
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.
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.
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.
Pirozzi, N. (2013). The EU’s comprehensive approach to crisis management. Geneva: Geneva Centre for the Democratic Control of Armed Forces.
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.
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).
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).
Zadeh, L. A. (1983). A computational approach to fuzzy quantifiers in natural languages. Computers & Mathematics with Applications, 9(1), 149–184.
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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
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DOI: https://doi.org/10.1007/978-3-319-42993-9_6
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