60308

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Decision Support in Ill-defined Situations Based on Internet Information Retrieval

DOI: 

10.1109/SUMMA50634.2020.9280682

Наименование конференции: 

  • 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2020, Lipetsk)

Наименование источника: 

  • Proceedings of the 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2020, Lipetsk)

Город: 

  • Lipetsk, Russia

Издательство: 

  • IEEE Xplore digital library

Год издания: 

2020

Страницы: 

1-6 (238-242) https://ieeexplore.ieee.org/document/9280682
Аннотация
A mathematical decision-making model in Ill-defined dynamic situations focused on supporting the activities of the decision-maker in the processes of constructing and transforming the situation semiotic model is proposed. Support is based on the extraction and processing of information from the Internet that is relevant to the situation semiotic model. The semiotic model is based on the model of intelligence as a form of organization of a person’s mental experience, which is described using three models related by parameters: syntactic, semantic, and pragmatic. The decision support method is based on the support of the intellectual activity of the decision-maker in the interpretation of the decision class names formally obtained in the semiotic model. Methods for interpreting the decision class names based on extracting relevant information from the Internet are proposed. Using lexical-semantic templates in the text corpus of the subject area, generic dictionaries, and a context dictionary is defined. Based on the methods of distributive semantics (word2vec), a semantic calculator is built that allows you to determine the meaning of the names of solution classes. The effectiveness of this method is to reduce the routine analytical work of experts in the interpretation process of formal solutions in the subject area that it improves intellectual productivity. Experimental verification of the proposed model confirms its effectiveness.

Библиографическая ссылка: 

Кулинич А.А. Decision Support in Ill-defined Situations Based on Internet Information Retrieval / Proceedings of the 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA2020, Lipetsk). Lipetsk, Russia: IEEE Xplore digital library, 2020. С. 1-6 (238-242) https://ieeexplore.ieee.org/document/9280682.