Research on Fuzzy Rules Query and Automatic Extraction Algorithm

To meet the needs of desire of using natural language to describe data analysis, this paper combines ideas of both fuzzy query language and linguistic summaries, introduces fuzzy set theory and presents a more powerful algorithm based on relational database, which can find fuzzy rules among crisp data. As a result, an automatic fuzzy rule extraction system is developed, which can support users extract and verify data rules in natural language.