Trust Theory and Fuzzy Sets

Major: Artificial Intelligence
Code of subject: 7.122.04.M.023
Credits: 5.00
Department: Artificial Intelligence Systems
Lecturer: Shakhovska Nataliya
Semester: 2 семестр
Mode of study: денна
Learning outcomes: ability to develop mathematical models and algorithms pattern recognition and classification of objects in intelligent information systems in terms of designing pattern recognition systems using appropriate mathematical software, using formal representation of the system; ability to develop mathematical models for objects and systems being designed in conditions of large data, different structure and speed of receipt;
Required prior and related subjects: Probability theory
Summary of the subject: Fuzzy sets and fuzzy relations Problems of fuzzy mathematical programming and their classification Decision making in conditions of risk and uncertainty
Assessment methods and criteria: labs and oral exam
Recommended books: Прохорова О. М. Моделі і методи нечіткої логіки: навч. посіб. [Рукопис] / О. М. Прохорова, Н. В. Кальчук; Нац. аерокомс. ун-т ім. Н. Є. Жуковського “ХАІ”. – Х., 2021. – 166 с.