- Tytuł:
- Automatic generation of fuzzy inference systems using heuristic possibilistic clustering
- Autorzy:
- Viattchenin, D. A.
- Powiązania:
- https://bibliotekanauki.pl/articles/384377.pdf
- Data publikacji:
- 2010
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
possibilistic clustering
fuzzy cluster
typical point
tolerance threshold
fuzzy rule - Opis:
- The interpretability and flexibility of fuzzy classification rules make them a popular basis for fuzzy controllers. Fuzzy control methods constitute a part of the areas of automation and robotics. The paper deals with the method of extracting fuzzy classification rules based on a heuristic method of possibilistic clustering. The description of basic concepts of the heuristic method of possibilistic clustering based on the allotment concept is provided. A general plan of the D-AFC(c)-algorithm is also given. A method of constructing and tuning of fuzzy rules based on clustering results is proposed. An illustrative example of the method's application to the Anderson's Iris data is carried out. An analysis of the experimental results is given and preliminary conclusions are formulated.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2010, 4, 3; 36-44
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł