Advances in the Dempster-Shafer theory of evidence
Communications of the ACM
Uncertainly measures of rough set prediction
Artificial Intelligence
On semantic issues connected with incomplete information databases
ACM Transactions on Database Systems (TODS)
On Databases with Incomplete Information
Journal of the ACM (JACM)
A relational model of data for large shared data banks
Communications of the ACM
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Incomplete Information: Rough Set Analysis
Incomplete Information: Rough Set Analysis
Principles and Applications
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Information Sciences: an International Journal
Lower and Upper Approximations of Rules in Non-deterministic Information Systems
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Rules and Apriori Algorithm in Non-deterministic Information Systems
Transactions on Rough Sets IX
Rough Relational Operators and Rough Entropy in Rough Relational Database
WKDD '09 Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Information-theoretic measures of uncertainty for rough sets and rough relational databases
Information Sciences: an International Journal
Introduction to the special issue on advanced information retrieval and databases
Journal of Intelligent Information Systems
The information entropy of rough relational databases
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Relational Contexts and Relational Concepts
Fundamenta Informaticae
Injecting domain knowledge into a granular database engine: a position paper
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Rule generation in Lipski's incomplete information databases
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Towards approximate SQL: infobright's approach
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Similarity-Based Classification in Relational Databases
Fundamenta Informaticae
Infobright Analytic Database Engine Using Rough Sets and Granular Computing
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
Rough contexts and rough-valued contexts
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Transforming information systems
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Association reducts: a framework for mining multi-attribute dependencies
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
Formal Concept Analysis in Relational Database and Rough Relational Database
Fundamenta Informaticae
RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets
Fundamenta Informaticae
Rough Concept Analysis: A Synthesis Of Rough Sets And Formal Concept Analysis
Fundamenta Informaticae
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The traditional relational database model RDM is not effective for dealing with imprecise and uncertain data as it deals with precise and unambiguous data. Hence, Beaubouef et al. proposed the rough relational database model RRDM for the management of uncertainty in relational databases. Beaubouef et al. defined the corresponding rough relational operators in rough relational databases as in ordinary relational databases. And to give an effective measure of uncertainty in rough relational databases, they defined the rough relation entropy. In this paper, we further discuss the issues of relational operations and uncertainty measure in rough relational databases. We give some new definitions for rough relational operators and rough relation entropy in rough relational databases. Furthermore, we discuss the basic properties of rough relational operators and rough relation entropy, as well as the connections between rough relational operators and rough relation entropy.