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.
Original language | English |
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Title of host publication | Knowledge-Based Intelligent Information and Engineering Systems |
Subtitle of host publication | 8th International Conference, KES 2004 Wellington, New Zealand, September 20-25, 2004 Proceedings, Part II |
Editors | Mircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain |
Place of Publication | Berlin Germany |
Pages | 691-697 |
Number of pages | 7 |
DOIs | |
Publication status | Published - 2004 |
Event | International Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2004 - Wellington, New Zealand Duration: 20 Sept 2004 → 25 Sept 2004 Conference number: 8th https://link.springer.com/book/10.1007/b100909 (Proceedings) |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 3214 |
ISSN (Print) | 0302-9743 |
Conference
Conference | International Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2004 |
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Abbreviated title | KES 2004 |
Country/Territory | New Zealand |
City | Wellington |
Period | 20/09/04 → 25/09/04 |
Internet address |
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