@inproceedings{c6a5f993721348279f961cfe924859a9,
title = "Fuzzy triggers: Incorporating imprecise reasoning into active databases",
abstract = "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.",
author = "Antoni Wolski and Tarik Bouaziz",
year = "1998",
doi = "10.1109/ICDE.1998.655766",
language = "English",
isbn = "0-8186-8289-2",
series = "Data Engineering",
publisher = "IEEE Institute of Electrical and Electronic Engineers",
pages = "108--115",
booktitle = "Proceedings 14th International Conference on Data Engineering",
address = "United States",
note = "14th International Conference on Data Engineering. ICDE'98 ; Conference date: 23-02-1998 Through 27-02-1998",
}