A two-level information filtering model for warning systems

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
IEEE Symposium on Computational Intelligence in Multi-criteria Decision-Making, 2007, pp. 354 - 359
Issue Date:
2007-01
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Information filtering is an important component in warning systems. This paper proposes a two-level information filtering model for generating warning information. In this model, information is represented by n-tuple, whose elements are values of information features. The features of information are divided into critical and uncritical features. Within this model, the collected information is filtered in two stages by users at different levels. At the first stage, exceptions are separated from normal information. And at the second stage, critical exceptions are separated from uncritical information. To illustration the proposed model, an example is discussed
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