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Intellectual risk analysis methods.
Author(s) -
Дмитрий Семенович Черешкин,
G.V. Royzenson,
Владимир Борисович Бритков
Publication year - 2020
Publication title -
trudy kolʹskogo naučnogo centra ran
Language(s) - English
Resource type - Journals
ISSN - 2307-5252
DOI - 10.37614/2307-5252.2020.8.11.021
Subject(s) - dynamism , computer science , classifier (uml) , risk analysis (engineering) , artificial intelligence , management science , machine learning , data mining , engineering , medicine , physics , quantum mechanics
The paper proposes a scheme for constructing a multidimensional classifier of risk analysis methods. The proposed multidimensional classifier of intellectual methods of risk analysis can be considered as a convenient analytical tool, because allows you to identify "gaps" in the development of these methods. Such an approach makes it possible for the selected specific tasks, taking into account the properties of socio-economic systems (uniqueness, the presence of several poorly formalized goals at once, material difficulty for determining optimality, dynamism, multi-criteria, taking into account the human factor and the possibility of interpreting the result), as well as measurement methods risk (engineering, model, expert and sociological) indicate a list of already developed methods or methods, the development of which is a promising problem.

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