National Security Assessment Method Based on Fuzzy Sets Theory
Autor: | Anatoly Kachynskyi |
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Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Theoretical and Applied Cybersecurity; Том 1, № 1 (2019) Theoretical and Applied Cybersecurity; Том 1, № 1 (2019): Theoretical and Applied Cybersecurity Theoretical and Applied Cybersecurity : scientific journal, 2019, Vol. 1, No. 1 |
ISSN: | 2664-2913 |
DOI: | 10.20535/tacs.2664-29132019.1.169084 |
Popis: | 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. |
Databáze: | OpenAIRE |
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