2007
DOI: 10.1002/int.20224
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About yes/no queries against possibilistic databases

Abstract: This article is concerned with the handling of imprecise information in databases. The need for dealing with imprecise data is more and more acknowledged in order to cope with real data, even if commercial systems are most of the time unable to manage them. Here, the possibilistic setting is taken into consideration because it is less demanding than the probabilistic one. Then, any imprecise piece of information is modeled as a possibility distribution intended for constraining the more or less acceptable valu… Show more

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Cited by 10 publications
(4 citation statements)
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“…, A n . It has been proven in (Bosc and Pivert, 2007) 25 that such a transformation is also valid in an imprecise database framework inasmuch as the model used is a strong representation system (which is the case here). It is then possible to compute the final possibility and necessity degrees by means of a straightforward adaptation of the algorithm presented above, cf.…”
Section: Type 1 Generalized Yes-no Queriesmentioning
confidence: 91%
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“…, A n . It has been proven in (Bosc and Pivert, 2007) 25 that such a transformation is also valid in an imprecise database framework inasmuch as the model used is a strong representation system (which is the case here). It is then possible to compute the final possibility and necessity degrees by means of a straightforward adaptation of the algorithm presented above, cf.…”
Section: Type 1 Generalized Yes-no Queriesmentioning
confidence: 91%
“…Bosc et al 24,25 use the framework of possibilistic databases and deal with so-called generalized yes-no queries -generalized because their answer is not yes or no but a pair of degrees -whose general format is: "to what extent is it possible and certain that the answer to Q fulfills condition C?" where Q is a (constrained) relational algebraic query which may include only the operators for which the model is an SRS, i.e.…”
Section: Possibilistic Frameworkmentioning
confidence: 99%
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