Relational interpretations of neighborhood operators and rough set approximation operators
Information Sciences—Informatics and Computer Science: An International Journal
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Constraint Based Incremental Learning of Classification Rules
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Inducing Better Rule Sets by Adding Missing Attribute Values
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Extracting Relevant Information about Reduct Sets from Data Tables
Transactions on Rough Sets IX
Rule induction based on an incremental rough set
Expert Systems with Applications: An International Journal
An Incremental Approach for Inducing Knowledge from Dynamic Information Systems
Fundamenta Informaticae - Fundamentals of Knowledge Technology
Information Entropy and Granulation Co---Entropy of Partitions and Coverings: A Summary
Transactions on Rough Sets X
Dynamic reduction based on rough sets in incomplete decision systems
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
International Journal of Intelligent Systems
Classification of dynamics in rough sets
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
The incremental method for fast computing the rough fuzzy approximations
Data & Knowledge Engineering
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
A Method for Incremental Updating Approximations when Objects and Attributes Vary with Time
GRC '10 Proceedings of the 2010 IEEE International Conference on Granular Computing
Temporal dynamics in rough sets based on coverings
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Attribute dynamics in rough sets
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Incremental learning optimization on knowledge discovery in dynamic business intelligent systems
Journal of Global Optimization
Pretopologies and Dynamic Spaces
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
RRIA: A Rough Set and Rule Tree Based Incremental Knowledge Acquisition Algorithm
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
Tolerance Approximation Spaces
Fundamenta Informaticae
Nullity-based matroid of rough sets and its application to attribute reduction
Information Sciences: an International Journal
Concept Formation: Rough Sets and Scott Systems
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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An information table can change over time in several different ways: objects enter/exit the system, new attributes are considered, etc. As a consequence rough set instruments also change. At first, we recall a classification of dynamic increase of information with respect to three different factors: objects, attributes, values. Then, the corresponding changes in rough sets are discussed. Results about approximations, positive region and generalized decision are given and algorithms to update reducts and rules provided.