- Tytuł:
- Extracting fuzzy classifications rules from three - way data
- Autorzy:
-
Kacprzyk, J.
Owsinski, J. W.
Viattchenin, D. A. - Powiązania:
- https://bibliotekanauki.pl/articles/385102.pdf
- Data publikacji:
- 2014
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
three-way data
possibilistic clustering
fuzzy cluster
typical point
fuzzy rule - Opis:
- The paper deals in the conceptual way with the problem of extracting fuzzy classification rules from the three-way data meant in the sense of Sato and Sato [7]. A novel technique based on a heuristic method of possibilistic clustering is proposed. A description of basic concepts of a heuristic method of possibilistic clustering based on concept of an allotment is provided. A preprocessing technique for three-way data is shown. An extended method of constructing fuzzy classification rules based on clustering results is proposed. An illustrative example of the method’s application to the Sato and Sato’s data [7] is provided. An analysis of the experimental results obtained with some conclusions are given.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 2; 47-57
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł