National Security Assessment Method Based on Fuzzy Sets Theory

Authors

  • Anatoly Kachynskyi Igor Sikorsky Kiev Polytechnic Institute, Ukraine

DOI:

https://doi.org/10.20535/tacs.2664-29132019.1.169084

Abstract

National security is a complex multilevel system whose state of security depends on many uncertainties, so developing a method of assessing the level of national security, based on a mathematical modeling using fuzzy logic that makes use of both quantitative and qualitative information with the conclusion in the form of linguistic characteristics of the phenomenon allows simultaneous use of different types of information: deterministic, statistical and linguistic, which is difficult to implement using other methods. As a result, linguistic assessment of the state security can be formulated as a statement «high level-low». Described approach can also be useful for monitoring the dangerous processes taking place in the field of national security.

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Published

2019-05-29

Issue

Section

Intelligent Data analysis methods in cybersecurity