Rescue equipment completing problem and technologies for its solution

Authors

  • Василий Николаевич Крышталь Cherkassy Institute of Fire Safety named after Heroes of Chornobyl of National Uni¬versity of Civil Defense of Ukraine Str. Onoprienko 8, Cherkasy, Ukraine, 18000, Ukraine https://orcid.org/0000-0002-1430-7404
  • Виталий Евгеневич Снитюк Taras Shevchenko National University of Kyiv Str. Lomonosov 81, Kyiv, Ukraine, 03022, Ukraine https://orcid.org/0000-0002-9954-8767

DOI:

https://doi.org/10.15587/1729-4061.2014.33647

Keywords:

rescue equipment, completing, optimization, criterion, information base

Abstract

The paper deals with the rescue equipment completing problem and aspects of its solution. In recent years, this problem has become of particular importance and the necessity of its solution is underlined by resource-fiscal deficit. The analysis has shown a certain similarity of the considered problem with the bin packing problem. However, in contrast, we deal with the multicriterion discrete optimization problem.

A set of the structure, functioning and development models, accompanying the obtained solution at its lifecycle stages was elaborated. These models allow to construct the area of potential solutions and, most importantly, provide the ability to change the equipment range over time, ensuring its adaptive properties.

Four main completing assessment criteria: functionality, performance, power and price were indicated. The objective function was built based on the additive convolution to determine the optimal variant of rescue equipment completing. Since this problem is discrete optimization problem and the number of possible completing variants is significant, it was proposed to solve it using the composition of evolutionary methods, the analytic hierarchy process and fuzzy set theory, for which data pre-preparation procedures were developed. The structure of the knowledge base, which is the information basis of the decision support processes was developed.

Author Biographies

Василий Николаевич Крышталь, Cherkassy Institute of Fire Safety named after Heroes of Chornobyl of National Uni¬versity of Civil Defense of Ukraine Str. Onoprienko 8, Cherkasy, Ukraine, 18000

Senior Lecturer

The department fire tactics and rescue operations

Виталий Евгеневич Снитюк, Taras Shevchenko National University of Kyiv Str. Lomonosov 81, Kyiv, Ukraine, 03022

Professor, Doctor of technical sciences, head of the department

The department of intellectual information systems 

References

  1. Snytyuk, V., Kucher, P. (2014). Problem and mathematical models for rescue technics acquisi­tion. International Journal “Information Theories and Applications”, 21 (1), 60–64.
  2. Zadeh, L. A. (1994). Fuzzy logic, neural network and soft computing. Communications of the ACM, 37 (3), 77–84.
  3. Snytyuk, V., Dghulay, O. (2007). Evolutionary technique of shorter route determination of fire brigade following to fire place with the optimized space of search. Information Technologies and Knowledge, 1 (4), 325–332.
  4. 4. Snytyuk, V. E., Dghulay, A. N., Bychenko, A. A. (2008). Evolyuzionnie tekhnologii prinyatiya resheniy pri pozharotushenii. Kiev: Maklaut, 268.
  5. Zemlyanskiy, О. M. (2012). Modeli ta evolyuziyni metodi optimizatsii struktiri system pozhezhnogo monitoringu budivel I sporud. Kiev, KNUBA, 22.
  6. Zemlyanskiy, O. M. (2014). Informaziyna tekhnologiya prognosuvannya konzen­trazii nebezpechnoi rechovini pri avariynomu vikidi v umovakh neviznachenosti. Cherkasy, CHDTU, 20.
  7. Snytyuk, V. Е., Мyroshnyk, О. N. (2014). Modelirovanie i prognozirovanie prozessov na rynke nedvizhimosti. Cherkasy: “Chabanenko”, 416.
  8. Lodi, A., Martello, S., Vigo, D. (2002). Recent advances on two-dimensional bin packing problems. Discrete Applied Mathematics, 123 (1-3), 379–396. doi: 10.1016/s0166-218x(01)00347-x
  9. Silvano, M., Toth, P. (1990). Knapsack problems. Chichester, UK: John Wiley and Sons, 221.
  10. Kucher, P., Snytyuk, V. (2009). Formalizaziya zadachi komplektuvannya I evolyuziyni aspekti ee resheniya. Isskustvenniy intellekt, 4, 268–273.
  11. Volkovitch, V. L., Voloshyn, А. F. (1993). Modeli i metodi optimizazii nadezhnosti slognikh system. К.: Nauk. dumka, 312.
  12. Chernoruzkiy, I. G. (2005) Medodi prinyatiya resheniy. SPb.: BHV, 416.
  13. Voloshyn, O. F., Maschenko, S. О. (2006). Teoriya prinyatiya resheniy. Кiev: Kievskiy universitet, 304.
  14. Michalevitch, V. С., Volkovitch, V. L. (1982). Vichislitelnie metodi issledovaniya i proektirovaniya slognikh system. Мoscow: Nauka, 286.
  15. Holland, J. H. (1994). Adaptation in natural and artificial systems. An introductory analysis with application to biology, control and artificial intelligence. London: Bradford book edition, 211.
  16. Michalewitcz, Z. (1996). Genetic Algorithms+Data Structures=Evolution Programs. Springer Verlag, Berlin, Heidelberg, New-York, 387. doi: 10.1007/978-3-662-03315-9
  17. Rechenberg, I. (1994). Evolutionsstrategie “94”. Stuttgart-Bad GannStatt: Frommann Halzboog, 434.
  18. Timchenko, А. А., Rodionov, A. A. (1991). Osnovi informatiki sistemnogo proektirovaniya objektov novoy techniki. Кiev: Naukova dumka, 231.
  19. Larichev, О. I. (2003). Teoriya i metodi prinyatiya resheniy. Мoscow: Logos, 392.
  20. Saati, Т., Kerns, K. (1991). Analiticheskoe planirovanie organizazii sistem. Мoscow: Radio i svyaz, 224.

Downloads

Published

2014-12-19

How to Cite

Крышталь, В. Н., & Снитюк, В. Е. (2014). Rescue equipment completing problem and technologies for its solution. Eastern-European Journal of Enterprise Technologies, 6(3(72), 35–41. https://doi.org/10.15587/1729-4061.2014.33647

Issue

Vol. 6 No. 3(72) (2014): Control processes

Section

Control processes

License

Copyright (c) 2014 Василий Николаевич Крышталь, Виталий Евгеневич Снитюк

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.