Fuzzy functional dependencies and lossless join decomposition of fuzzy relational database systems
ACM Transactions on Database Systems (TODS)
Proximity relations in the fuzzy relational database model
Fuzzy Sets and Systems
Fuzzy databases in the new era
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
A relational model of data for large shared data banks
Communications of the ACM
Combining fuzzy information: an overview
ACM SIGMOD Record
Fuzzy Relational Systems: Foundations and Principles
Fuzzy Relational Systems: Foundations and Principles
Fuzzy Database Query Languages and Their Relational Completeness Theorem
IEEE Transactions on Knowledge and Data Engineering
Fuzzy closure operators induced by similarity
Fundamenta Informaticae
The Lowell database research self-assessment
Communications of the ACM - Adaptive complex enterprises
RankSQL: query algebra and optimization for relational top-k queries
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Theory of Relational Databases
Theory of Relational Databases
Logical Foundations for Similarity-Based Databases
Database Systems for Advanced Applications
Query systems in similarity-based databases: logical foundations, expressive power, and completeness
Proceedings of the 2010 ACM Symposium on Applied Computing
Codd's Relational Model from the Point of View of Fuzzy Logic
Journal of Logic and Computation
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We study estimations of similarity of query results in a similarity-based database model. The model results as extension of Codd's model of data in which domains are additionally equipped with similarity relations and tuples in data tables have ranks indicating degrees to which tuples match similarity-based queries. We present ranked-based and tuple-based similarity of data tables, similarity closures, prove that relational operations in our model preserve similarity, and provide formulas for estimating similarity of query results based on similarity of input data. Most of the proofs are only sketched or omitted because of the limited scope of the paper.