Abstract
When the available information is imperfect, it is often desirable to represent it in the database, so that it can be used to answer queries of interest as much as possible. The data as well as query in data sources are often vague or imprecise (fuzzy). In this paper, a comprehensive classification of fuzzy data is done. This classification will be used as framework for understanding how fuzzy data arise and manifest themselves.
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© 2004 Springer-Verlag Berlin Heidelberg
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Popat, D., Sharda, H., Taniar, D. (2004). Classification of Fuzzy Data in Database Management System. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_91
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DOI: https://doi.org/10.1007/978-3-540-30133-2_91
Publisher Name: Springer, Berlin, Heidelberg
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