Introduction to the theory of fuzzy sets, fuzzy numbers and arithmetical operations, comparison of fuzzy numbers, fuzzy relations, fuzzy logic, fuzzy interference rules, fuzzyfication and defuzzyfication, optimization problems with fuzzy coefficients. Artificial neuron, characteristics of neural networks, multi-layer neural feedback network, training of a neural network, stability of neural network, verification of neural network model, fuzzy neural networks, applications in decision problems.

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: Yes, for all

Participants prerequisite knowledge: Numerical methods (linear algebra, statistics) Domain-specific background knowledge