Extensions and intentions in the rough set theory
Information Sciences: an International Journal
Uncertainly measures of rough set prediction
Artificial Intelligence
Rough set approach to incomplete information systems
Information Sciences: an International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
The algorithm on knowledge reduction in incomplete information systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
On knowledge reduction in inconsistent decision information systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Topological approaches to covering rough sets
Information Sciences: an International Journal
Information Sciences: an International Journal
On Three Types of Covering-Based Rough Sets
IEEE Transactions on Knowledge and Data Engineering
Information Sciences: an International Journal
Neighborhood rough set based heterogeneous feature subset selection
Information Sciences: an International Journal
The algebraic structures of generalized rough set theory
Information Sciences: an International Journal
Relationship between generalized rough sets based on binary relation and covering
Information Sciences: an International Journal
A comparison of two types of rough sets induced by coverings
International Journal of Approximate Reasoning
Relationship among basic concepts in covering-based rough sets
Information Sciences: an International Journal
Three-way decisions with probabilistic rough sets
Information Sciences: an International Journal
MGRS: A multi-granulation rough set
Information Sciences: an International Journal
Selecting discrete and continuous features based on neighborhood decision error minimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
Information Sciences: an International Journal
International Journal of Intelligent Systems
Covering rough set model based on multi-granulations
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
A generalization of near set model
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
The reduction and fusion of fuzzy covering systems based on the evidence theory
International Journal of Approximate Reasoning
Knowledge reduction in real decision formal contexts
Information Sciences: an International Journal
Determining the number of clusters using information entropy for mixed data
Pattern Recognition
Axiomatic approach of knowledge granulation in information system
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Covering based rough set approximations
Information Sciences: an International Journal
An application of rough sets to graph theory
Information Sciences: an International Journal
Granular clustering: a granular signature of data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Relational and directional aspects in the construction of information granules
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Learning rule representations from data
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Incomplete Multigranulation Rough Set
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An efficient rough feature selection algorithm with a multi-granulation view
International Journal of Approximate Reasoning
NMGRS: Neighborhood-based multigranulation rough sets
International Journal of Approximate Reasoning
On the structure of the multigranulation rough set model
Knowledge-Based Systems
International Journal of Approximate Reasoning
IEEE Transactions on Knowledge and Data Engineering
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The classical multigranulation rough set (MGRS) theory offers a formal theoretical framework for solving the complex problem under multigranulation environment. However, it is noticeable that MGRS theory cannot be applied in multi-source information systems with a covering environment in the real world. To address this issue, we firstly present in this paper three types of covering based multigranulation rough sets, in which set approximations are defined by different covering approximation operators. Then, by using two different approximation strategies, i.e., seeking common reserving difference and seeking common rejecting difference, two kinds of covering based multigranulation rough set are presented, namely, a covering based optimistic multigranulation rough set and a covering based pessimistic multigranulation rough sets. Finally, we develop some properties and several uncertainty measures of the covering based multigranulation rough sets. These results will enrich the MGRS theory and enlarge its application scope.