Fuzzy rule representation and knowledge base construction in expert system

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 r...

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Hauptverfasser:	Yongchang Ren, Xuguang Chai, Tao Xing, Xiaoji Chen
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Sprache:	eng
Schlagworte:	Artificial Intelligence Cognition expert system Expert systems fuzzy rule representation knowledge base construction Knowledge representation
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creator	Yongchang Ren Xuguang Chai Tao Xing Xiaoji Chen
description	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.
doi_str_mv	10.1109/ISKE.2010.5680805
format	Conference Proceeding
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subjects	Artificial Intelligence Cognition expert system Expert systems fuzzy rule representation knowledge base construction Knowledge representation
title	Fuzzy rule representation and knowledge base construction in expert system
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