Fuzzy Triggers: 
Incorporating Imprecise Reasoning into Active Databases
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by Antoni Wolski and Tarik Bouaziz 

Proc. 14th Intl. Conf. on Data Engineering (ICDE'98), 
Feb., 23-27, 1988, Orlando, Florida.

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. 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.