Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Top-k selection queries over relational databases: Mapping strategies and performance evaluation
ACM Transactions on Database Systems (TODS)
Proceedings of the 17th International Conference on Data Engineering
Preference formulas in relational queries
ACM Transactions on Database Systems (TODS)
Preference SQL: design, implementation, experiences
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Fuzzy Querying in Intelligent Information Systems
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Database preferences queries: a possibilistic logic approach with symbolic priorities
FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
A fuzzy-rule-based approach to contextual preference queries
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
A fuzzy-rule-based approach to the handling of inferred fuzzy predicates in database queries
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
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This paper deals with database preference queries involving fuzzy conditions which do not explicitly refer to an attribute from the database, but whose meaning is rather inferred from a set of rules. The approach we propose, which is based on some concepts from the fuzzy control domain (aggregation and defuzzification, in particular), significantly increases the expressivity of fuzzy query languages inasmuch as it allows for new types of predicates. An implementation strategy involving a coupling between a DBMS and a fuzzy reasoner is outlined.