A knowledge-based modeling framework fusing expert knowledge and domain data

Expert systems rely excessively on expert knowledge.How to accurately obtain expert knowledge is a bottleneck for the expert system and how to combine historical data and expert knowledge effectively is a difficult problem in intelligent modeling domain.A fusion of expert knowledge and historical data integrated knowledge modeling framework is proposed.Firstly,a simple IF-THEN rule is used to represent the expert knowledge.Then a series of data analysis approaches are developed based on historical data,namely as data analysis engine including cluster analysis,rule extraction,approximate reasoning and rule adjustment.This analysis engine can help experts to establish and optimize the knowledge model correctly.It can provide an integrated modeling method combining expert knowledge and data extraction rules for domain experts.