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
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;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891530
