Fuzzy querying with SQL: extensions and implementation aspects
Fuzzy Sets and Systems - Mathematical Modelling
A fuzzy database-query language
Information Systems
Fuzzy object-oriented database modeling coupled with fuzzy logic
Fuzzy Sets and Systems
Extending SQL with customizable soft selection conditions
Proceedings of the 2005 ACM symposium on Applied computing
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Database Skeleton and Its Application to Fuzzy Query Translation
IEEE Transactions on Software Engineering
Translation of Fuzzy Queries for Relational Database System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy query translation for relational database systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
A Knowledge-Based Approach for Answering Fuzzy Queries over Relational Databases
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
FDBMS Application for a Survey on Educational Performance
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
On the Performance of Fuzzy Data Querying
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Answering approximate queries over autonomous web databases
Proceedings of the 18th international conference on World wide web
f-SPARQL: a flexible extension of SPARQL
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
Efficient fuzzy ranking queries in uncertain databases
Applied Intelligence
Fuzzy dominance skyline queries
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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Users of information systems would like to express flexible queries over the data possibly retrieving imperfect items when the perfect ones, which exactly match the selection conditions, are not available. Most commercial DBMSs are still based on the SQL for querying. Therefore, providing some flexibility to SQL can help users to improve their interaction with the systems without requiring them to learn a completely novel language. Based on the fuzzy set theory and the @a-cut operation of fuzzy number, this paper presents the generic fuzzy queries against classical relational databases and develops the translation of the fuzzy queries. The generic fuzzy queries mean that the query condition consists of complex fuzzy terms as the operands and complex fuzzy relations as the operators in a fuzzy query. With different thresholds that the user chooses for the fuzzy query, the user's fuzzy queries can be translated into precise queries for classical relational databases.