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ICDE
1998
IEEE

Fuzzy Triggers: Incorporating Imprecise Reasoning into Active Databases

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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 with a traditional crisp database. The new approach paves the way for 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 an industrial installation.
Antoni Wolski, Tarik Bouaziz
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 1998
Where ICDE
Authors Antoni Wolski, Tarik Bouaziz
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