Model of the situations recognition in conditions dissimilar and incomplete data

Authors

  • Dmytro Eduardovych Dvukhglavov
  • Oleksandr Volodymyrovych Muzyka
  • Stanislav Oleksandrovych Hlazkov

DOI:

https://doi.org/10.20998/2079-0023.2016.37.04

Abstract

There have been proposed model of situations recognition in determined alphabet, based on combination of quantitative and qualitative characteristics, considered the data dissimilar, coming from information sources. In the model improved the quality of the formalized description of quantitative characteristics using histograms instead of fuzzy L-R intervals, which gives the possibility of organizing a self-learning recognition system situations based on the processing statistics of recognition. Recommendations for formation of characteristics sets to overcome the data incompleteness have been present. Proposed model may be use for formalization knowledge about situation recognition process. Subject areas for implementation taken results are diagnostic in medicine and energetic, situation assessment at the military control points, making prognosis in ec onomic.

References

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How to Cite

Dvukhglavov, D. E., Muzyka, O. V., & Hlazkov, S. O. (2017). Model of the situations recognition in conditions dissimilar and incomplete data. Bulletin of National Technical University "KhPI". Series: System Analysis, Control and Information Technologies, (37), 17–21. https://doi.org/10.20998/2079-0023.2016.37.04

Issue

No. 37 (2016)

Section

SYSTEM ANALYSIS AND DECISION-MAKING THEORY

License

Copyright (c) 2017 Вісник Національного технічного університету «ХПІ». Серія: Системний аналiз, управління та iнформацiйнi технологiї

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