Implementing imprecision in information systems
Information Sciences: an International Journal - Special issue on expert systems
GEFRED: a generalized model of fuzzy relational databases
Information Sciences—Informatics and Computer Science: An International Journal
Principles and Applications
Fuzzy Sets in Approximate Reasoning and Information Systems
Fuzzy Sets in Approximate Reasoning and Information Systems
Artificial Intelligence and the Design of Expert Systems
Artificial Intelligence and the Design of Expert Systems
A Server for Fuzzy SQL Queries
FQAS '98 Proceedings of the Third International Conference on Flexible Query Answering Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Modeling Data Using Fuzzy Attributes
SCCC '02 Proceedings of the XII International Conference of the Chilean Computer Science Society
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Representation of Fuzzy Knowledge in Relational Databases
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Preface to the special issue on advances in fuzzy database technology: Introduction
International Journal of Intelligent Systems
Database design tools: an expert system approach
VLDB '85 Proceedings of the 11th international conference on Very Large Data Bases - Volume 11
Handbook of Research on Fuzzy Information Processing in Databases
Handbook of Research on Fuzzy Information Processing in Databases
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
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Several applications need to stock and interrogate fuzzy data in a flexible manner. Unfortunately, these two requirements are not supported by the database management systems which currently dominate the databases servers market. Several works have tried to cure these insufficiencies; we speak henceforth of fuzzy databases and flexible querying of these databases. The design problem of such databases did not receive the interest that it deserves. The fuzzy data types are numerous and varied what puts the designer of a fuzzy database in front of a complex problem of choice. In this paper, we propose an approach based on an expert system which helps the designer to choose the appropriate data types for the columns susceptible to stock fuzzy data or interrogated by flexible queries. This solution suits the migration toward a fuzzy database as well as a fuzzy database under design. Although this solution is based on the fuzzy model GEFRED (GEneralised model for Fuzzy RElational Database), it can be applied to other fuzzy models. This expert system can be integrated into the classic design environments like Rational Rose, Power AMC, etc.