67258

Автор(ы): 

Автор(ов): 

2

Параметры публикации

Тип публикации: 

Доклад

Название: 

Identification of Integrated Rating Mechanisms on Complete Data Sets

Электронная публикация: 

Да

ISBN/ISSN: 

978-3-030-85874-2

DOI: 

10.1007/978-3-030-85874-2_66

Наименование конференции: 

  • IFIP WG 5.7 International Conference "Advances in Production Management Systems" (APMS 2021) (Artificial Intelligence for Sustainable and Resilient Production Systems)

Наименование источника: 

  • Proceedings of IFIP WG 5.7 International Conference "Advances in Production Management Systems" (APMS 2021) (Artificial Intelligence for Sustainable and Resilient Production Systems)

Обозначение и номер тома: 

630

Город: 

  • Berlin

Издательство: 

  • Springer

Год издания: 

2021

Страницы: 

610-616
Аннотация
An approach to the selection of structure for integrated rating mechanism to be identified given complete learning dataset is suggested. Theoretical assertions and derived from them constructive algorithm for full binary tree selection are described. Challenges for the extension of the approach suggested to incomplete data sets are outlined.

Библиографическая ссылка: 

Коргин Н.А., Сергеев В.А. Identification of Integrated Rating Mechanisms on Complete Data Sets / Proceedings of IFIP WG 5.7 International Conference "Advances in Production Management Systems" (APMS 2021) (Artificial Intelligence for Sustainable and Resilient Production Systems). Berlin: Springer, 2021. 630. С. 610-616.