Research of uncertainties in situational awareness systems and methods of their processing

Authors

DOI:

https://doi.org/10.15587/1729-4061.2016.60828

Keywords:

situational awareness, uncertainty, model, interpreted system, decision making, relevance, ontology, fuzziness

Abstract

Situational awareness as the understanding of the system environment is a mandatory part of any decision support system. Formation and maintenance of situational awareness is a complex process. It comprises the stages of sensor data collection and interpretation, as well as updating of knowledge about the current situation for making correct decisions. However, all stages of this process are subject to various uncertainties and errors. They affect the knowledge about the environment and correctness of decision making using this knowledge. Various types of uncertainties have been researched and formalized. The work deals with the study and formalization of uncertainties that arise at different stages of situational awareness formation and reduction of adverse effects. The paper analyzes various models for defining and presenting the situational awareness formation process in order to find a common platform and mechanisms related to different process stages. Existing classifications, manifestations and influence of uncertainties on situational awareness at various stages of its formation are also discussed. The paper proposes methods to reduce the impact of uncertainty at all stages. The results of the analysis are appropriate for use in intelligent decision support systems for reducing the impact of different types of uncertainties in the process of situational awareness formation. Applying the ontological modeling methods as a basis for analysis provides a holistic view of the causes of uncertainties for various stages of the SA formation process, makes it possible to analyze their interdependence, create and re-use knowledge about the causes of uncertainties for specific application areas.

Author Biographies

Христина Ігорівна Микіч, National Lviv Polytechnic University 12 Stepan Bandera str., Lviv, Ukraine, 79013

Postgraduate student

Department of information systems and networks

Євген Вікторович Буров, National Lviv Polytechnic University 12 Stepan Bandera str., Lviv, Ukraine, 79013

Doctor of technical sciences, associate professor

Department of information systems and networks

References

  1. Brehmer, B. (2005). The Dynamic OODA Loop: Amalgamating Boyd’s OODA Loop and the Cybernetic Approach to Command and Control. Proceedings of the 10th international command and control research technology symposium. Swedish National Defence College, 1–15.
  2. Jousselme, A., Maupin, P., Boss´e, E. (2003). Uncertainty in a Situation Analysis Perspective. 6th Annual Conference on Information Fusion, 1207–1214.
  3. Jousselme, A., Maupin, P. (2007). Interpreted Systems for Situation Analysis. 10th International Conference on Information Fusion, 1–11.
  4. Lytvyn, V. (2014). Metod vykorystannia ontolohii u petli OODA. Visnyk Natsionalnoho universytetu «Lvivska politekhnika», 783, 137–144.
  5. Endsley, M., Mica, R. (2000). Theoretical underpinnings of situation awareness: a critical review Process More Data≠More Information. Situation Awareness Analysis and Measurement, 301, 3–32.
  6. White, F. E. (1988). A Model for Data Fusion. Proc. 1st National Symposium on Sensor Fusion, 153–158.
  7. Steinberg, A. N., Bowman, C. L., White, F. E. (1999). Revisions to the JDL Model. Sensor Fusion: Architectures, Algorithms, and Applications, Proceedings of the SPIE, 3719, 430–441.
  8. Fagin, R., Halpern, J. Y. (1994). Reasoning about knowledge and probability. Journal of the ACM, 41 (2), 340–367. doi: 10.1145/174652.174658
  9. Fagin, R., Halpern, J. Y. (1987). Belief, awareness, and limited reasoning. Artificial Intelligence, 34 (1), 39–76. doi: 10.1016/0004-3702(87)90003-8
  10. Farahbod, R., Glässer, U., Bosse, E., Goutouni, A. (2008). Integrating Abstract State Machines and Interpreted Systems for Situation Analysis Decision Support Design. The 11th International Conference on Information Fusion, 1566–1573.
  11. Endsley, M. R. (2015). Final Reflections: Situation Awareness Models and Measures. Journal of Cognitive Engineering and Decision Making, 9 (1), 101–111. doi: 10.1177/1555343415573911
  12. Nilsson, M., Laere, J. van, Susi, T., Ziemke, T. (2012). Information fusion in practice: A distributed cognition perspective on the active role of users. Information Fusion, 13 (1), 60–78. doi: 10.1016/j.inffus.2011.01.005
  13. Riveiro, M., Falkman, G., Ziemke, T., Gustavsson, P. (2008). Extending the scope of Situation Analysis. The 11th International Conference on Information Fusion, 1–8.
  14. Jousselme, A.-L., Chunsheng Liu, Grenier, D., Bosse, E. (2006). Measuring ambiguity in the evidence theory. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 36 (5), 890–903. doi: 10.1109/tsmca.2005.853483
  15. Jousselme, A., Maupin, P. (2013). Comparison of uncertainty representations for missing data in information retrieval. The 16th International Conference on Information Fusion, 1902–1909.
  16. Snidaro, L., Visentini, I., Bryan, K. (2015). Fusing uncertain knowledge and evidence for maritime situational awareness via Markov Logic Networks. Information Fusion, 21, 159–172. doi: 10.1016/j.inffus.2013.03.004
  17. Costa, P., Laskey, K., Blasch, E., Jousselme, A. (2012). Towards Unbiased Evaluation of Uncertainty Reasoning: The URREF Ontology The 15th International Conference on Information Fusion, 2301–2308.
  18. Krause, P., Clark, D. (1993). Representing Uncertain Knowledge: An Artificial Intelligence Approach. Kluwer Academic Publishers. doi: 10.1007/978-94-011-2084-5
  19. Bouchon-Meunier, B., Nguyen, H. T. (1996). Les incertitudes dans les systemes intelligents. Press Universitaires de France, Paris.
  20. Klir, G. J., Wierman, M. J. (1999). Uncertainty-Based Information: elements of generalized information theory. 2nd edition. Verlag Berlin Heidelberg 15, 178.
  21. Smets, P. (1997). Imperfect information: Imprecision and uncertainty. Uncertainty Management in Information Systems, 225–254. doi: 10.1007/978-1-4615-6245-0_8
  22. Olive, A. (2007). Conceptual Modeling of Information Systems. Springer Berlin Heidelberg, 471. doi: 10.1007/978-3-540-39390-0
  23. Lytvyn, V. V., Kraiovskyi, V. Ia., Shakhovska, N. B. (2009). Vykorystannia adaptyvnykh ontolohii v intelektualnykh systemakh pryiniattia rishen. Eastern-European Journal of Enterprise Technologies, 4/3 (40), 7–12. Available at: http://journals.uran.ua/eejet/article/view/20838/18477

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Published

2016-02-27

How to Cite

Микіч, Х. І., & Буров, Є. В. (2016). Research of uncertainties in situational awareness systems and methods of their processing. Eastern-European Journal of Enterprise Technologies, 1(4(79), 19–27. https://doi.org/10.15587/1729-4061.2016.60828

Issue

Vol. 1 No. 4(79) (2016): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2016 Христина Ігорівна Микіч, Євген Вікторович Буров

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