In this paper, we discuss the problem of knowledge discovery in information systems. A model is presented for users to obtain either “objective” interesting rules or “subjective” judgments of meaningful descriptions based on their needs. Extended random sets are presented firstly to describe the relationships between condition granules and decision granules. The interpretation is then given to show what we can obtain from the extended random sets.
CITATION STYLE
Li, Y. (2003). Extended random sets for knowledge discovery in information systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2639, pp. 524–532). Springer Verlag. https://doi.org/10.1007/3-540-39205-x_87
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