Наредни састанак Семинара биће одржан онлајн у среду, 29. маја 2024, са почетком у 19 часова.
Предавач: Fernando Chacón Gómez, Investigador Predoctoral UCA FPI, Departamento de Matemáticas, Facultad de Ciencias, Universidad de Cádiz, España
Наслов предавања: ANALYSIS OF INCONSISTENT INFORMATION AND DECISION-MAKING IN FUZZY ROUGH SET THEORY
Апстракт: 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.
Напомена: Регистрациона форма за учешће на Семинару је доступна на линку:
https://miteam.mi.sanu.ac.rs/asset/CW5nJWDSEZDj7p32p
Уколико желите само да пратите предавање без могућности активног учешћа, пренос је доступан на линку:
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