Default reasoning and possibility theory
Artificial Intelligence
Second order structures in multi-criteria decision making
International Journal of Man-Machine Studies
Using fuzzy sets in flexible querying: why and how?
Flexible query answering systems
Implicative and conjunctive fuzzy rules—a tool for reasoning from knowledge and examples
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
On T-quantifiers and S-quantifiers
Discovering the world with fuzzy logic
Computing with words in intelligent database querying: standalone and internet-based application
Information Sciences—Informatics and Computer Science: An International Journal - Special issue computing with words
Knowledge-Driven versus Data-Driven Logics
Journal of Logic, Language and Information
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
New Semantics for Quantitative Possibility Theory
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Preferences; Putting More Knowledge into Queries
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Fuzzy orderings in flexible query answering systems
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Yin Yang bipolar logic and bipolar fuzzy logic
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Bipolar Queries and Queries with Preferences (Invited Paper)
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Handbook of Research on Fuzzy Information Processing in Databases
Handbook of Research on Fuzzy Information Processing in Databases
An introduction to bipolar representations of information and preference
International Journal of Intelligent Systems
International Journal of Intelligent Systems
Modeling positive and negative information in possibility theory
International Journal of Intelligent Systems - Bipolar Representations of Information and Preference Part 2: Reasoning and Learning
Bipolar Queries Using Various Interpretations of Logical Connectives
IFSA '07 Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing
Dealing with Positive and Negative Query Criteria in Fuzzy Database Querying
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Extending relational algebra to handle bipolarity
Proceedings of the 2010 ACM Symposium on Applied Computing
Handling bipolarity in elementary queries to possibilistic databases
IEEE Transactions on Fuzzy Systems - Special section on computing with words
Remarks on Various Aspects of Bipolarity in Database Querying
DEXA '10 Proceedings of the 2010 Workshops on Database and Expert Systems Applications
Bipolar possibilistic representations
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
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The concept of a bipolar query, meant as a database query that involves both negative and positive conditions, is discussed from the point of view of flexible database querying and modeling of more sophisticated intentions and preferences of the user. The aggregation of matching degrees against the negative and positive conditions to derive an overall matching degree is considered taking into account as the point of departure the Lacroix and Lavency's (1987) [1] approach and the semantics of these conditions. Three variants of formalization of the ''and possibly'' operator which governs the adopted aggregation mode of the negative and positive parts of a bipolar query are proposed. These variants take the form of logical formulas whose logical connectives may be modeled using fuzzy logic in many different ways. New recommendations as to the choice of such variants and sets of logical connectives, which preserve the assumed semantics of the ''and possibly'' operator, expressed as a number of postulated plausible, or desired, properties of aggregation, are formulated.