On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Weighted fuzzy pattern matching
Fuzzy Sets and Systems - Mathematical Modelling
Principles and Applications
The Management of Probabilistic Data
IEEE Transactions on Knowledge and Data Engineering
Bipolarity in Flexible Querying
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
The Theory of Probabilistic Databases
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Bipolar Queries and Queries with Preferences (Invited Paper)
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Management of data with uncertainties
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Prioritized aggregation operators
International Journal of Approximate Reasoning
Handbook of Research on Fuzzy Information Processing in Databases
Handbook of Research on Fuzzy Information Processing in Databases
ACM SIGACT News
Proceedings of the 2009 ACM symposium on Applied Computing
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Including importances in OWA aggregations using fuzzy systems modeling
IEEE Transactions on Fuzzy Systems
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We provide a framework for querying of databases. We model a query as a collection of required conditions and an imperative for combining an object's satisfaction to the individual conditions to get its overall satisfaction. We investigate tools that can enrich this process by enabling the inclusion ofmore human focused considerations.We discuss how to include flexible conditions with the use of fuzzy sets. We describe some more sophisticated techniques for aggregating the satisfactions of the individual conditions based on the inclusion of importances and the use of the OWA operator. We introduce a new method for aggregating the individual satisfactions that can model a lexicographic relation between the individual requirements. In addition to considering more human focused aspects of the query we look at databases in which the information in the database can have some probabilistic or possibilistic uncertainty.