79349

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Application of Vector Language Models in Decision Support Systems

Электронная публикация: 

Да

DOI: 

10.1109/SUMMA64428.2024.10803760

Наименование конференции: 

  • 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2024, Lipetsk)

Наименование источника: 

  • Proceedings of the 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2024)

Город: 

  • Lipetsk

Издательство: 

  • IEEE Xplore digital library (IEEE Catalog Number CFP 1863G-USB)

Год издания: 

2024

Страницы: 

281-285
Аннотация
The mathematical model of the decision support system under uncertainty conditions is considered. The model is based on the semiotic model of the situation. Methods for solving the inverse problem for finding formal solutions to achieve the goal are proposed. To interpret the solutions, it is proposed to use vector models of language obtained by training neural networks with a large corpus of text. Examples of interpreting solutions using vector models of language are considered and their capabilities for decision-making are analyzed. A method for assessing the quality of explaining solutions by a deep learning neural network is proposed.

Библиографическая ссылка: 

Кулинич А.А. Application of Vector Language Models in Decision Support Systems / Proceedings of the 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2024). Lipetsk: IEEE Xplore digital library (IEEE Catalog Number CFP 1863G-USB), 2024. С. 281-285.