Title :
A Certainty-Based Model for Uncertain Databases
Author :
Pivert, Olivier ; Prade, Henri
Author_Institution :
IRISA, Univ. of Rennes 1, Lannion, France
Abstract :
This paper considers relational databases containing uncertain attribute values when some knowledge is available about the more or less certain value (or disjunction of values) that a given attribute in a tuple may take. We propose a possibility-theory-based model suited to this context and extend the operators of relational algebra to handle such relations in a “compact,” thus efficient, way. It is shown that the model is a representation system for the whole relational algebra. An important result is that the data complexity associated with the extended operators in this context is the same as in the classical database case, which makes the approach highly scalable.
Keywords :
mathematical operators; possibility theory; relational algebra; relational databases; certainty-based model; data complexity; possibility-theory-based model; relational algebra; relational database; representation system; uncertain attribute value; uncertain database; Algebra; Cities and towns; Context; Databases; Possibility theory; Probabilistic logic; Uncertainty; Database model; possibility theory; query language; uncertain data;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2014.2347994