Fuzzy data and information systems

Authors:
Reinhard Viertl
Affiliations:
Vienna University of Technology, Department of Statistics and Probability Theory, Vienna, Austria
Venue:
Proceedings of the 15th WSEAS international conference on Systems
Year:
2011

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Abstract

Real quantitative data and other valuable informations are often not precise numbers but more or less nonprecise. This kind of uncertainty is also called fuzziness, and the related information is called fuzzy information. The best up-to-date description of this kind of data is by so-called "fuzzy numbers". In order to include such data in databases the databases have to be able to store fuzzy numbers in a suitable way.