Uncertainty models in information and database systems
Journal of Information Science
Fuzzy Sets and Systems
Twofold fuzzy sets and rough sets—Some issues in knowledge representation
Fuzzy Sets and Systems
Rough sets and fuzzy sets—some remarks on interrelations
Fuzzy Sets and Systems
The importance of rough approximation for information retrieval
International Journal of Man-Machine Studies
Fuzzy Sets and Systems
Further remarks on the relation between rough and fuzzy sets
Fuzzy Sets and Systems
Communications of the ACM - Special issue on object-oriented experiences and future trends
The object database standard: ODMG 2.0
The object database standard: ODMG 2.0
A spatial model for complex objects with a broad boundary supporting queries on uncertain data
Data & Knowledge Engineering
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Managing Uncertainty in Expert Systems
Managing Uncertainty in Expert Systems
Incomplete Relational Database Models Based on Intervals
IEEE Transactions on Knowledge and Data Engineering
Reasoning about topological relations between regions with broad boundaries
International Journal of Approximate Reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Possibility mean, variance and covariance of triangular intuitionistic fuzzy numbers
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper introduces the intuitionistic rough set and intuitionistic rough relational and rough object oriented database models. Rough set, fuzzy set, and intuitionistic set uncertainty management are discussed and compared, and the model based on intuitionistic and rough sets developed here is applied to databases. The intuitionistic rough set database models draw benefits from both the rough set and intuitionistic techniques, providing greater management of uncertainty for databases applications in a less than certain world.