- Tytuł:
- Fuzzy inference method for intelligent artificial system
- Autorzy:
- Cho, Y. I.
- Powiązania:
- https://bibliotekanauki.pl/articles/332987.pdf
- Data publikacji:
- 2009
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
systemy rozmyte
system MAX-MIN
sztuczna inteligencja
fuzzy inference system
MAX-MIN system
artificial intelligence control - Opis:
- A fuzzy control system which is a typical system utilizing fuzzy model is mainly using the Max-Min CRI (Compositional Rule of Inference) method by Zadeh and Mamdani for fuzzy inference. But the Max-Min CRI method suffers from drawbacks including: error-prone weighting strategy, inefficient compositional rule of inference, and subjective formulation of membership functions. Because of these problems in the Max-Min CRI method, the inference often results in significant error regions specifying the difference between the desired outputs and the inferred outputs. To overcome such problems, we propose here a new fuzzy inference system for artificial intelligence control.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2009, 13; 11-14
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł