Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
ACM Transactions on Database Systems (TODS)
An equivalence classes model of fuzzy relational databases
Fuzzy Sets and Systems - On fuzzy information and database systems
On fuzzy implication operators
Fuzzy Sets and Systems
Functional dependencies and normal forms in the fuzzy relational database model
Information Sciences: an International Journal
Extending the relational model to deal with fuzzy values
Fuzzy Sets and Systems
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Fuzzy data dependencies and implication of fuzzy data dependencies
Fuzzy Sets and Systems
Fuzzy set technology in knowledge discovery
Fuzzy Sets and Systems
Fuzzy logic in data modeling: semantics, constraints, and database design
Fuzzy logic in data modeling: semantics, constraints, and database design
Data summarization in relational databases through fuzzy dependencies
Information Sciences: an International Journal
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Fuzzy Functional Dependencies and Fuzzy Association Rules
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Fuzzy query interface for a business database
International Journal of Human-Computer Studies
Editorial: fuzzy set and possibility theory-based methods in artificial intelligence
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Applicability of some fuzzy implication operators
Fuzzy Sets and Systems
A definition for fuzzy approximate dependencies
Fuzzy Sets and Systems
Fuzzy sets in database and information systems: Status and opportunities
Fuzzy Sets and Systems
Properties of fuzzy implication operators
International Journal of Approximate Reasoning
Dependencies among attributes given by fuzzy confirmation measures
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In this paper, we present a new method for computing fuzzy functional dependencies between attributes in fuzzy relational database systems. The method is based on the use of fuzzy implications. A literature analysis has shown that there is no algorithm that would enable the identification of attribute relationships in fuzzy relational schemas. This fact was the motive for development a new methodology in the analysis of fuzzy functional dependencies over a given set of attributes. Solving this, not so new problem, is not only research challenge having theoretical importance, but it also has practical significance. Possible applications of the proposed methodology include GIS, data mining, information retrieval, reducing data redundancy in fuzzy relations through implementation of logical database model, estimation of missing values etc.