Mathematical Modelling and Optimization of Risk Analysis in Emergencies

  • Authors

    • Korneev A.M
    • Salfetnikov M.V
    2018-09-27
    https://doi.org/10.14419/ijet.v7i4.7.20546
  • optimization, economic indicators, GA, algorithms, risk analysis, Mathematical Model.

  • Abstract

    In current work methods of intellectual support of acceptance of administrative decisions on risks of occurrence of extreme situations are considered. The relationship between human activity, the emergence emergencies and the state of the environment is systemic. An important role is given to the analysis of the causes of incidents and emergencies of technogenic nature. Emergencies refers to complex multi-level systems, so a systematic approach is needed to model them. When choosing models of complex systems, factors related to the natural properties of the constituent elements and subsystems, and the patterns of the functioning of the system as a whole are investigated. Various methods of mathematical modeling are used to determine the risks of emergencies. The problem of optimization of decision-making algorithms in the event of emergencies is solved.

     

     

  • References

    1. [1] A.M. Korneev, L.S.Abdullakh, T.A. Smetannikova, criterion for assessing the effectiveness of functioning of complex systems based on the use the amount of information, International Journal of Applied Engineering Research. 2015. Т. 10. № 11. С. 27961-27980.

      [2] Abdullah L.S, Korneev A.M, Smetannikova T.A. Structural cell-hierarchical identification of complex spatially distributed production systems // Proceedings of the 3rd International Academic Conference. 2013, St. Louis, Missouri, USA. С.75-79.

      [3] S.L. Blyumin, A.M. Shmyrin, O.A. Shmyrina. Bilinear Neighborhood Systems. Monograph. Lipetsk, Lipetsk State Technical University Publishers, 2006. 131 p, (in Russian).

      [4] Korneev, A. M. Methods for the identification of cross-cutting technology production of steel products: monograph / Lipetsk state pedagogical University. - Lipetsk: LGU, 2009. - 286 p.

      [5] Korneev, A. M. cellular Structural-hierarchical modeling of complex prostranstvenno-distributed systems. - News of higher educational institutions of the Central Chernozem region, 2011, No. 1, pp. 62-66.

      [6] Ðnalysis of economic indicators of complex production processes/ Korneev A.M., Abdullah L.S. // International Journal of Engineering & Technology Vol. 7(3.5), 2018, pp. 7-9.

      [7] Identification of complex production systems with using iterative networks / Korneev A.M., Abdullakh L.S., Sukhanov A.B., Antar, S.D., Al-jonid Kh.M// International Journal of Engineering & Technology Vol. 7(3.5), 2018, pp. 37-39.

      [8] Stratonovich, R. L. Theory of information. - Moscow: Sov. radio, 1975. - 424 p. Korneev, A. M. the Use of information criteria connection input and output variables for the selection of optimal technologies - Izvestiya vuzov. Ferrous metallurgy, 2004, No. 9, p. 48 -52.

      [9] A. M. Shmyrin, I. A. Sedykh, Identification and Control Algorithms of Functioning for Neighborhood Systems Based on Petri Nets, Automation and Remote Control, 2010, Volume 71, Issue 6, p. 1265-1274.

      [10] Kuznetsov, L. A., A. Korneev, M. Automated system of selecting the optimal technology for the production of steel. - Izvestiya vuzov. Ferrous metallurgy, 1994, No. 5, pp. 45-48.

  • Downloads

  • How to Cite

    A.M, K., & M.V, S. (2018). Mathematical Modelling and Optimization of Risk Analysis in Emergencies. International Journal of Engineering & Technology, 7(4.7), 209-211. https://doi.org/10.14419/ijet.v7i4.7.20546

    Received date: 2018-09-29

    Accepted date: 2018-09-29

    Published date: 2018-09-27