Abstract
In this paper, the issue of querying databases containing ill-known values is addressed. A new type of queries is introduced, based on criteria applying to the representations of ill-known data. In the regular possibilistic framework, the only authorized selection criteria concern the value that an item can take. What we propose is to enrich the query language with some concepts which are part of the possibilistic database model and which concern the qualification of imprecision/uncertainty. The representation-based querying framework defined in this paper constitutes the first step to the introduction of an explicit manipulation of the concepts of imprecision/uncertainty into a fuzzy query language.
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© 1997 Springer-Verlag Berlin Heidelberg
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Bosc, P., Pivert, O. (1997). On representation-based querying of databases containing ill-known values. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1997. Lecture Notes in Computer Science, vol 1325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63614-5_46
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DOI: https://doi.org/10.1007/3-540-63614-5_46
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