DocumentCode :
2297868
Title :
Creating fuzzy control rules based on data mining
Author :
Sun, Zhongkui ; Chen, Lei ; Li, Zhigang ; Wang, Jinhua
Author_Institution :
Coll. of Light Ind., Hebei Polytech. Univ., Tangshan, China
Volume :
3
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
1635
Lastpage :
1639
Abstract :
Creating fuzzy control rules is a core of fuzzy control system. With the development and improvement of data mining technology, in this paper, making use of the feature of data mining clustering algorithms to classify the similar characteristic data are classified as a class, and combining the theory of generating fuzzy control rules, a new way is proposed to acquire fuzzy rules.
Keywords :
control engineering computing; data mining; fuzzy control; pattern classification; pattern clustering; data classification; data mining clustering algorithm; fuzzy control rule creation; fuzzy control system; fuzzy rule acquisition; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Data mining; Fuzzy control; Niobium; Pragmatics; Clustering; Data Minging; Fuzzy Control Rules Table;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5583770
Filename :
5583770
Link To Document :
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