DocumentCode
226414
Title
The auto-revising method for fuzzy rule-base
Author
Feng Li ; Zhennan Wang ; Mei Wang ; Xiaoqiang Liu
Author_Institution
Coll. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China
fYear
2014
fDate
6-11 July 2014
Firstpage
654
Lastpage
661
Abstract
To refine the fuzzy rule base, it is important to find out and remove the redundant rules in the large scale rule base automatically. On the topic, a synthetical process is described. The abstraction relationship between the clauses is presented firstly, and then the redundant rule is defined in strictly formal criteria on the base of three laws: Transitive Law, Precondition Specific Law and Conclusion Abstraction Law. Based on the theorems, the algorithm to revise the knowledge base is presented.
Keywords
fuzzy set theory; knowledge based systems; auto-revising method; conclusion abstraction law; fuzzy rule-base system; knowledge base; large scale rule base; precondition specific law; redundant rule; synthetical process; transitive law; Cognition; Intelligent systems; Knowledge based systems; Oil insulation; Power transformer insulation; Redundancy; fuzzy; intelligent system; redundant rule; rule base;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-2073-0
Type
conf
DOI
10.1109/FUZZ-IEEE.2014.6891530
Filename
6891530
Link To Document