Fuzzy Data Analysis
Koordynator: dr hab. inż. Robert Czabański, prof. PŚ
The aim of the course is to introduce students to fuzzy set-based methods for data representation, classification, and knowledge discovery. The course focuses on handling uncertainty and imprecision using fuzzy logic and intelligent systems, with particular emphasis on decision support applications. The lecture provides a theoretical foundation and explores practical uses of fuzzy methods in modern AI.
