Proceedings of the 17th International Conference on Data Engineering
Extending RDBMS for Allowing Fuzzy Quantified Queries
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
An optimal and progressive algorithm for skyline queries
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Maximal vector computation in large data sets
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Generalization of strategies for fuzzy query translation in classical relational databases
Information and Software Technology
Preferred skyline: a hybrid approach between SQLf and skyline
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
On the Performance of Fuzzy Data Querying
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Formalization for natural language fuzzy queries and crisp multi-criteria queries
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Preferences in AI: An overview
Artificial Intelligence
On different types of fuzzy skylines
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
On possibilistic skyline queries
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Database preference queries--a possibilistic logic approach with symbolic priorities
Annals of Mathematics and Artificial Intelligence
From stars to galaxies: skyline queries on aggregate data
Proceedings of the 16th International Conference on Extending Database Technology
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Skyline is an important and recent proposal for expressing user preferences. While no one best row exists, Skyline discards rows which are worse on all criteria than some other and retrieves non-dominated or the best ones that match user preferences. Nevertheless, some dominated rows could be interesting to user requirement, but they will be rejected by Skyline. Dominated rows could be discriminated (or ranked) by means of user preferences, but Skyline only discards dominated ones and it does not discriminate them. SQLf is a proposal for preferences queries based on fuzzy logic that allows to discriminate rows and includes user-defined terms, such as fuzzy comparison operators. In this work, we propose to flexibilize Skyline queries using fuzzy comparison operators in order to retrieve interesting dominated rows. We also introduce an evaluation mechanism for these queries and our initial experimental study shows that this mechanism has a reasonable performance.