Fuzzy triggers: Incorporating imprecise reasoning into active databases

Traditional Event-Condition-Action triggers (active database rules) include a Boolean predicate as a trigger condition. We propose fuzzy triggers whereby fuzzy inference is utilized in the condition evaluation, This way approximate reasoning may be integrated,vith a traditional crisp database. The new approach paves the way far intuitive expression of application semantics of imprecise nature, in database-bound applications, Two fuzzy triggers models are proposed. Firstly a set of fuzzy rules is encapsulated into a Boolean-valued function called a rule set function, leading to the C-fuzzy trigger model Subsequently, actions are expressed also in fuzzy terms, and the corresponding CA-fuzzy trigger model is proposed, Examples are provided to illustrate how fuzzy triggers can be applied to a real-life drive control system in atr industrial installation.