Uncertainty models in information and database systems
Journal of Information Science
Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
ACM Transactions on Database Systems (TODS)
Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
The relational model for database management: version 2
The relational model for database management: version 2
Rough computational methods for information systems
Artificial Intelligence
An extension of classical functional dependency: dynamic fuzzy functional dependency
Information Sciences: an International Journal - Relational methods in computer science
A unified approach to functional dependencies and relations
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
Remarks on the algebra of non first normal form relations
PODS '82 Proceedings of the 1st ACM SIGACT-SIGMOD symposium on Principles of database systems
SLFD Logic: Elimination of Data Redundancy in Knowledge Representation
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
The Lowell database research self-assessment
Communications of the ACM - Adaptive complex enterprises
Is there a need for fuzzy logic?
Information Sciences: an International Journal
Functional dependencies in a relational database and propositional logic
IBM Journal of Research and Development
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Fuzzy Logic, Soft Computing, and Applications
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
An efficient algorithm for reasoning about fuzzy functional dependencies
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Automated inference with fuzzy functional dependencies over graded data
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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An axiomatic system for fuzzy functional dependencies is introduced. The main novelty of the system is that it is not based on the transitivity rule like all the others, but it is built around a simplification rule which allows the removal of redundancy. The axiomatic system presented here is shown to be sound and complete.