- Tytuł:
- Triangular fuzzy-rough set based fuzzification of fuzzy rule-based systems
- Autorzy:
-
Starczewski, Janusz T.
Goetzen, Piotr
Napoli, Christian - Powiązania:
- https://bibliotekanauki.pl/articles/1837416.pdf
- Data publikacji:
- 2020
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
general type-2 fuzzy logic systems
fuzzy-rough fuzzification
regular type-2 t-norms
cropped triangular secondary membership functions - Opis:
- In real-world approximation problems, precise input data are economically expensive. Therefore, fuzzy methods devoted to uncertain data are in the focus of current research. Consequently, a method based on fuzzy-rough sets for fuzzification of inputs in a rulebased fuzzy system is discussed in this paper. A triangular membership function is applied to describe the nature of imprecision in data. Firstly, triangular fuzzy partitions are introduced to approximate common antecedent fuzzy rule sets. As a consequence of the proposed method, we obtain a structure of a general (non-interval) type-2 fuzzy logic system in which secondary membership functions are cropped triangular. Then, the possibility of applying so-called regular triangular norms is discussed. Finally, an experimental system constructed on precise data, which is then transformed and verified for uncertain data, is provided to demonstrate its basic properties.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 4; 271-285
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł