DocumentCode
2476157
Title
The method to get fuzzy rules based on AFS structure
Author
Yuan, Xu ; Zhai, Lidong ; Cao, Xiaodong
Author_Institution
Software Sch., Dalian Univ. of Technol., Dalian
fYear
2008
fDate
25-27 June 2008
Firstpage
491
Lastpage
494
Abstract
A new general method to get fuzzy rules base on AFS structure is proposed after we study the theories to extract fuzzy rules directly from data. This method is obtained through the AFS structure and the algebra rules to figure out the membership function and the fuzzy-description, after that we extract the final fuzzy-rules. The fact proves that this approach has high utility and operability and applies to the field of data mining and knowledge discovery.
Keywords
algebra; data mining; fuzzy set theory; algebra rules; data mining; fuzzy rules; fuzzy-description; knowledge discovery; membership function; Algebra; Automation; Data mining; Educational technology; Fuzzy control; Fuzzy logic; Fuzzy systems; Intelligent control; Laboratories; Remuneration; AFS structure; EI; EII algebra; extracting rules; fuzzy-description; membership function;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4592972
Filename
4592972
Link To Document