On expert database system based on fuzzy Petri net

The expert database system (EDBS) with coupled structure of expert system (ES) and database management system (DBMS) was constituted. The Petri nets model was used to the knowledge representation. The mechanism of fuzzy reasoning was described, so the confidence and conclusion were formed by means of fuzzy algorithm to provide reasoning suggestions and predictions for users. The implementation of the EDBS was presented, which includes ES, DBMS, man-machine interface and communication interface, in which DBMS consists of concurrent control, data organization, storage, fault recovery and query, while communication interface is to implement integration of ES and DBMS. The actual investment analysis and decision was used to explain and verify the EDBS.