GEFRED: a generalized model of fuzzy relational databases
Information Sciences—Informatics and Computer Science: An International Journal
A Server for Fuzzy SQL Queries
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Modeling Data Using Fuzzy Attributes
SCCC '02 Proceedings of the XII International Conference of the Chilean Computer Science Society
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Relaxing constraints in enhanced entity-relationship models using fuzzy quantifiers
IEEE Transactions on Fuzzy Systems
SQLf: a relational database language for fuzzy querying
IEEE Transactions on Fuzzy Systems
Conceptual fuzzy temporal relational model (FTRM) for patient data
WSEAS Transactions on Information Science and Applications
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The FSQL language is an extension of the SQL language which permits us to handle fuzzy information in fuzzy or crisp databases. The first version of FSQL was implemented for Oracle Databases in PL/SQL. This first version defined basic fuzzy (or flexible) queries for fuzzy or traditional databases. In this work we present some new characteristics for FSQL. These new definitions include four new fuzzy comparators, five new fuzzy attributes, six new fuzzy constant types, new characteristics in the fulfillment thresholds, dynamic change of functions in logic operations, fuzzy set operators, the ALTER FSQL statement, and some useful functions to handle fuzzy attributes and fuzzy values. Besides, we outline here the definition of some DDL statements of FSQL and eighteen fuzzy comparators for fuzzy time in FSQL. The advantages of these new characteristics are obvious: basically they allow a greater expressiveness.