Null values in fuzzy databases
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Tolerant division queries and possibilistic database querying
Fuzzy Sets and Systems
A Model Based on Possibilistic Certainty Levels for Incomplete Databases
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
PrDB: managing and exploiting rich correlations in probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
Fuzzy Sets and Systems
Equivalence and transformation of extended algebraic operators in fuzzy relational databases
Fuzzy Sets and Systems
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Fuzzy Sets and Systems
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Fuzzy Sets and Systems
Possibility theory and formal concept analysis: context decomposition and uncertainty handling
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
About inclusion-based generalized yes/no queries in a possibilistic database context
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FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
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This work deals with databases containing ill-known attribute values represented by possibility distributions. Any such database has a canonical interpretation as a set of regular databases, but it is well known that their manipulation raises a number of problems, in particular with respect to the soundness of querying operations and the tractability of the evaluation process. In This work, we propose a query language including three operators which are soundly defined on extended possibilistic (compact) relations, which is the key for tractability. The originality of the approach is twofold: 1) a nesting mechanism is introduced in the data model in order to support the expression of the result of some of the operations allowed, and 2) a joint operation enables to compose possibilistic relations under some reasonable hypotheses.