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Applying fuzzy events to approximate reasoning in active databases

The ever-increasing amounts of data stored in databases make it more and more difficult to get information summarized and provided in a timely manner to the user. In order to achieve this goal, a fuzzy trigger model is proposed. The model is based on the concept of a fuzzy event. Fuzzy events are integrated with fuzzy condition-actions using a new membership function modification technique called squeezing. In addition, this paper describes an application of fuzzy trigger for alarm treatment in a real-life industrial drive control system. The developed model can be applied to many other application domains, where combining fuzziness with active behavior is needed.