Fuzzy triggers: Incorporating imprecise reasoning into active databases

Antoni Wolski, Tarik Bouaziz

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

7 Citations (Scopus)


Traditional Event-Condition-Action triggers (active database rules) include a Boolean predicate as a trig-ger 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. Subse-quently, actions are expressed also in fuzzy terms, and the corresponding CA-fuzzy trigger model is pro-posed. Examples are provided to illustrate how fuzzy triggers can be applied to a real-life drive control system in an industrial installation.
Original languageEnglish
Title of host publicationProceedings 14th International Conference on Data Engineering
Place of PublicationLos Alamitos
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Print)0-8186-8289-2
Publication statusPublished - 1998
MoE publication typeA4 Article in a conference publication
Event14th International Conference on Data Engineering. ICDE'98 - Orlando, United States
Duration: 23 Feb 199827 Feb 1998

Publication series

SeriesData Engineering


Conference14th International Conference on Data Engineering. ICDE'98
Country/TerritoryUnited States


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