Fuzzy relational algebra for possibility-distribution-fuzzy-relational model of fuzzy data
Journal of Intelligent Information Systems
Beyond min aggregation in multicriteria decision: (ordered) weighted min, discri-min, leximin
The ordered weighted averaging operators
Design and implementation issues in the fuzzy object-oriented data model
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
FQUERY for Access: towards human consistent querying user interface
SAC '96 Proceedings of the 1996 ACM symposium on Applied Computing
Fuzziness in Database Management Systems
Fuzziness in Database Management Systems
Principles and Applications
Fuzzy Database Modeling
Bipolarity in Flexible Querying
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Conjunctive Aggregation of Extended Possibilistic Truth Values and Flexible Database Querying
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
A Server for Fuzzy SQL Queries
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Modelling uncertainty in multimedia database systems: an extended possibilistic approach
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
An Introduction to Database Systems
An Introduction to Database Systems
Advances In Fuzzy Object-oriented Databases: Modeling And Applications
Advances In Fuzzy Object-oriented Databases: Modeling And Applications
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
International Journal of Intelligent Systems
Fuzzy sets in database and information systems: Status and opportunities
Fuzzy Sets and Systems
Aggregating constraint satisfaction degrees expressed by possibilistic truth values
IEEE Transactions on Fuzzy Systems
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
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Traditionally, flexible querying systems are supported by a logical framework that is based on satisfaction degrees. Alternatively, certainty about query satisfaction can also be modelled by possibility and necessity measures. This approach was extended by our group in order to handle the cases of missing information more adequately. In this paper, it is presented how our extended logical framework can be used to support flexible querying on conventional relational databases. The handling of preferences, both inside elementary query conditions and between query conditions, is presented, as well as the extension of the traditional selection, projection and join operators. Motivated examples are provided to illustrate the used concepts.