Fuzzy logic-predicate network

Переведенное название: Нечёткая логико-предикатная сеть

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

In many Artrificial Intelligence problems an investigated object is considered as a set of its elements $\{ \omega_1, \dots , \omega_t\}$ and is characterized by properties of these elements and relations between them. These
properties and relations may be set by predicates $p_1, \dots , p_n$. The problems appeared with such an approach become NP-complete or NP-hard ones. To decrease the computational complexity of these problems a hierarchical multi-level description of classes was suggested. A logic-predicate recognition network may be constructed according to such a multi-level description. Such a network recognizes only objects which have been presented in the training set, but it may be easily retrained by a new object. After retraining it may change its configuration i.e., the number of levels and the number of nodes in every level. A modification of such a network is offered in this paper. This modification allows to do a fuzzy recognition of a new object and to calculate the degree of certainty that this object or its part belongs to some class of objects.
Переведенное название Нечёткая логико-предикатная сеть английский Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) Martin Stepnicka 9-13 Опубликовано - сен 2019 11th Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology - Чешский институт информатики, робототехники и кибернетики, Прага, ЧехияПродолжительность: 9 сен 2019 → 13 сен 2019Номер конференции: 11

Серия публикаций

Название Atlanties Studies in Uncertainty Modeling 1 2589-6644

конференция

конференция 11th Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology EUSFLAT 2019 Чехия Прага 9/09/19 → 13/09/19

Предметные области Scopus

• Компьютерные науки (все)
• Математика (все)

Ключевые слова

• Hierarchical description, logic-predicate recognition network, fuzzy recognition.

• Цитировать

Kosovskaia, T. (2019). Fuzzy logic-predicate network. В M. Stepnicka (Ред.), Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) (стр. 9-13). (Atlanties Studies in Uncertainty Modeling; Том 1). https://www.atlantis-press.com/proceedings/eusflat-19/articles