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
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;
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
DOI :
10.1109/WCICA.2008.4592972
