Using fuzzy sets in flexible querying: why and how?
Flexible query answering systems
On T-quantifiers and S-quantifiers
Discovering the world with fuzzy logic
Querying with Intrinsic Preferences
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Bipolarity in Flexible Querying
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
Preferences; Putting More Knowledge into Queries
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
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Geographic information retrieval: Modeling uncertainty of user's context
Fuzzy Sets and Systems
Bipolar queries: An aggregation operator focused perspective
Fuzzy Sets and Systems
Bipolar SQLf: a flexible querying language for relational databases
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Bipolar queries in textual information retrieval: A new perspective
Information Processing and Management: an International Journal
Handling heterogeneous bipolar information for modelling environmental syndromes of global change
Environmental Modelling & Software
On four noncommutative fuzzy connectives and their axiomatization
Fuzzy Sets and Systems
On a fuzzy bipolar relational algebra
Information Sciences: an International Journal
A Fuzzy Ontology for Database Querying with Bipolar Preferences
International Journal of Intelligent Systems
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In [1,2] we studied various concepts of bipolar queries (cf. Dubois and Prade [3]). We advocated the use of a fuzzified version of the original crisp definition by Lacroix and Lavency [4]. However, the general fuzzification proposed leaves open the choice of a representation of logical connectives and quantifiers. In the present paper we study the influence of the choice some representations that are popular in fuzzy logic on matching degrees of the tuples and their resulting ordering.