DocumentCode
1945203
Title
Fuzzy rule representation and knowledge base construction in expert system
Author
Ren, Yongchang ; Chai, Xuguang ; Xing, Tao ; Chen, Xiaoji
Author_Institution
Coll. of Inf. Sci. & Eng., Bohai Univ., Jinzhou, China
fYear
2010
fDate
15-16 Nov. 2010
Firstpage
106
Lastpage
110
Abstract
Fuzzy rule is the core of fuzzy expert system, which use relational database methods knowledge to build knowledge base, the combination of database and knowledge base is the development trend of the knowledge base. This paper describes the fuzzy rules first, including fuzzy logic, fuzzy production rules, multi-dimensional fuzzy rules; and studies the fuzzy rule representation, including the general rule representation and fuzzy rule representation; finally researches the construction of knowledge base, including the Knowledge Base System Structure and knowledge base table structure. The results show that the type knowledge of fuzzy rule reflects the relationship between the rules of deductive reasoning logical implication of the way to the database is a natural extension from the database to the knowledge base, which has some theoretical and practical value.
Keywords
expert systems; fuzzy logic; fuzzy set theory; inference mechanisms; knowledge representation; relational databases; deductive reasoning; fuzzy expert system; fuzzy logic; fuzzy production rules; fuzzy rule representation; knowledge base system; logical implication; relational database; Cognition; Databases; Expert systems; Knowledge representation; Artificial Intelligence; expert system; fuzzy rule representation; knowledge base construction;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-6791-4
Type
conf
DOI
10.1109/ISKE.2010.5680805
Filename
5680805
Link To Document