Naredni sastanak Seminara biće održan onlajn u sredu, 29. maja 2024, sa početkom u 19 časova.

Predavač: Fernando Chacón Gómez, Investigador Predoctoral UCA FPI, Departamento de Matemáticas, Facultad de Ciencias, Universidad de Cádiz, España

Naslov predavanja: ANALYSIS OF INCONSISTENT INFORMATION AND DECISION-MAKING IN FUZZY ROUGH SET THEORY

Apstrakt:
The modelling of incomplete and imprecise information is the main task carried out in Rough Set Theory (RST) and in its generalization to the fuzzy framework, Fuzzy Rough Set Theory (FRST). Decision rules and different notions defined from them, such as relevance indicators or decision algorithms, significantly help to make these data analyses and allow to extract relevant conclusions. Moreover, these notions are also of great relevance for the classification of new data, allowing to address the decision-making process in FRST. This talk presents the aforementioned notions and four different classification methods in FRST, showing a detailed real example to illustrate the potential of the contribution.

Napomena: Registraciona forma za učešće na Seminaru je dostupna na linku:
https://miteam.mi.sanu.ac.rs/asset/CW5nJWDSEZDj7p32p

Ukoliko želite samo da pratite predavanje bez mogućnosti aktivnog učešća, prenos je dostupan na linku:
https://miteam.mi.sanu.ac.rs/asset/4LNW8WtML7rLKojoz