49459

Автор(ы): 

Селиверстов Д. Е. (-)
Смирнов А. Д. (-)
Русаков К. Д. (ИПУ РАН, Лаборатория 80)

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Development of Theoretical Bases of Classification and Clusterization of Fuzzy Signs on the Basis of the Category Theory

Электронная публикация: 

Да

ISBN/ISSN: 

978-1-5386-4924-4

DOI: 

10.1109/MLSD.2018.8551931

Наименование конференции: 

  • 2018 11th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 11th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Moscow

Издательство: 

  • IEEE

Год издания: 

2018

Страницы: 

https://ieeexplore.ieee.org/document/8551931
Аннотация
A modern approach to improving the theory of classification and clustering of fuzzy features of uniquely identifiable objects is proposed, based on the expansion of the existing set-theoretic mathematical apparatus.

Библиографическая ссылка: 

Селиверстов Д.Е., Смирнов А.Д., Русаков К.Д. Development of Theoretical Bases of Classification and Clusterization of Fuzzy Signs on the Basis of the Category Theory / Proceedings of the 11th International Conference "Management of Large-Scale System Development" (MLSD). Moscow: IEEE, 2018. С. https://ieeexplore.ieee.org/document/8551931.