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- W1905341937 abstract "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. In 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 trigger 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." @default.
- W1905341937 created "2016-06-24" @default.
- W1905341937 creator A5011112381 @default.
- W1905341937 creator A5077693211 @default.
- W1905341937 date "2002-11-27" @default.
- W1905341937 modified "2023-09-27" @default.
- W1905341937 title "Fuzzy triggers: incorporating imprecise reasoning into active databases" @default.
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- W1905341937 doi "https://doi.org/10.1109/icde.1998.655766" @default.
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