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Models and algorithms for human capital reproduction intellectual analysis  id статьи: 2716
Тип публикации
материалы конференции
Язык
En
Журнал
E3S Web of Conferences. 2023 International Scientific and Practical Conference on Environmental Risks and Safety in Mechanical Engineering, ERSME 2023; Rostov-on-Don; Russian Federation; 1 March 2023 до 3 March 2023; Код 187720
Год
2023
Выходные данные
том 376
выпуск
страницы № 05013
Авторы
Zhukov, A.2
Pronichkin, S2
EDN
Абстракт
The managerial decisions making tasks in human capital reproduction complex systems are solved on the basis of models built on experimental data. It is problematic to take into account all the factors affecting the human capital reproduction. Existing approaches are not focused on building models for the human capital reproduction with incomplete information. Algorithms for inductive modeling are developed for the human capital reproduction systems characteristics functional description. The software is developed to implement the proposed algorithms for the human capital reproduction intellectual analysis based on the metric spaces of multisets. © The Authors, published by EDP Sciences.
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Дата занесения
2023-05-05 14:25:35 (квартал- I)
Scopus
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2
количество баллов каждому автору
0.67
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25550403