Abstract
The paper proposes an approach to development of a mathematical model for determination of monitoring objects using informativeness of their monitoring indicators. The possibility of calculating informativeness of an individual monitoring indicator has been investigated and lines of further research have been determined in terms of calculating the possibility of monitoring source (object) recognition error depending on relative informativeness of the signature and a priori probability of monitoring sources (objects).
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
O. A. Iliashov, “Synthesis of algorithms for recognition of vulnerabilities in web resources using signatures of fuzzy linguistic features,” Cybern. Syst. Analysis, Vol. 53, No. 3, 403–409 (2017). https://doi.org/10.1007/s10559-017-9940-8.
M. A. Popov and M. V. Topolnitskiy, “A Dempster–Shafer evidence theory-based approach to object classification on multispectral/hyperspectral images,” in: Proc. 10th Intern. Conf. IEEE on Digital Technologies (Žilina, Slovakia, 9–11 July, 2014), IEEE (2014), pp. 296–300. https://doi.org/10.1109/DT.2014.6868729.
M. O. Popov, L. M. Artyushyn, M. V. Topolnytsky, O. V. Tytarenko, and Yu. V. Shmorgun, “Integrating of heterogeneous geospatial data based on the Dempster–Scheifer theory of evidence,” Mathematical Machines and Systems, No. 3, 35–46 (2019). https://doi.org/10.34121/1028-9763-2019-3-35-46.
S. Le Hegarat-Mascle, I. Bloch, and D. Vidal-Madjar, “Application of Dempster–Shafer evidence theory to unsupervised classification in multisource remote sensing,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 35, No. 4, 1018–1031 (1997).
O. A. Iliashov, “The evaluation of monitoring informative features, signatures and the measures of their ambiguity during recognition objects and sources of monitoring in the information environment of telecommunication systems,” Visnyk NTUU KPI, Ser. Radiotekhnika, Radioaparatobuduvannia, Issue 67, 77–83 (2016). https://doi.org/10.20535/RADAP.2016.67.77-83.
E. S. Wentzel, Probability Theory [in Russian], Nauka, Moscow (1969).
O. Iliashov and V. Komarov, “Improvement of the signature-system method by applying priority features in the composition of the monitored object signatures to ensure maximum probability of correct recognition,” Cybern. Syst. Analysis, Vol. 56, No. 4, 577–585 (2020). https://doi.org/10.1007/s10559-020-00274-1.
I. M. Sashchuk, R. M. Zhovtovatyuk, and M. O. Gumenyuk, “Procedure for determining the informativeness of the monitoring feature,” Collection of Scientific Works of the Central Research Institute of Armed Forces of Ukraine, Issue 25, 41–49 (2016).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Kibernetika i Sistemnyi Analiz, No. 5, September–October, 2020, pp. 95–99.
Rights and permissions
About this article
Cite this article
Iliashov, O., Komarov, V. An Approach to Development of a Mathematical Model for Determination of Monitoring Objects Using Informativeness of their Monitoring Indicators. Cybern Syst Anal 56, 766–769 (2020). https://doi.org/10.1007/s10559-020-00297-8
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10559-020-00297-8