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
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