Using Rough Sets with Heuristics for Feature Selection
Journal of Intelligent Information Systems
Dynamic Reducts as a Tool for Extracting Laws from Decisions Tables
ISMIS '94 Proceedings of the 8th International Symposium on Methodologies for Intelligent Systems
An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
On Algorithm for Constructing of Decision Trees with Minimal Number of Nodes
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Reduction and axiomization of covering generalized rough sets
Information Sciences: an International Journal
Logic in Computer Science: Modelling and Reasoning about Systems
Logic in Computer Science: Modelling and Reasoning about Systems
Constructive and axiomatic approaches of fuzzy approximation operators
Information Sciences—Informatics and Computer Science: An International Journal - Mining stream data
On the coverings by tolerance classes
Information Sciences—Informatics and Computer Science: An International Journal
Topological approaches to covering rough sets
Information Sciences: an International Journal
A novel approach to fuzzy rough sets based on a fuzzy covering
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
On generalized intuitionistic fuzzy rough approximation operators
Information Sciences: an International Journal
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
Neighborhood rough set based heterogeneous feature subset selection
Information Sciences: an International Journal
A rough set approach to the discovery of classification rules in spatial data
International Journal of Geographical Information Science
Relationship between generalized rough sets based on binary relation and covering
Information Sciences: an International Journal
Rough sets approach to symbolic value partition
International Journal of Approximate Reasoning
A comparison of two types of rough sets induced by coverings
International Journal of Approximate Reasoning
Approaches to knowledge reduction of covering decision systems based on information theory
Information Sciences: an International Journal
A hierarchical model for test-cost-sensitive decision systems
Information Sciences: an International Journal
Relationship among basic concepts in covering-based rough sets
Information Sciences: an International Journal
Parallel Reducts in a Series of Decision Subsystems
CSO '09 Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 02
Information Sciences: an International Journal
Invertible approximation operators of generalized rough sets and fuzzy rough sets
Information Sciences: an International Journal
Positive approximation: An accelerator for attribute reduction in rough set theory
Artificial Intelligence
Expert Systems with Applications: An International Journal
Covering numbers in covering-based rough sets
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Transversal and function matroidal structures of covering-based rough sets
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Matroidal approaches to rough sets via closure operators
International Journal of Approximate Reasoning
Rough set theory applied to lattice theory
Information Sciences: an International Journal
Covering based rough set approximations
Information Sciences: an International Journal
The fourth type of covering-based rough sets
Information Sciences: an International Journal
An application of rough sets to graph theory
Information Sciences: an International Journal
Topological characterizations of covering for special covering-based upper approximation operators
Information Sciences: an International Journal
Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system
Information Sciences: an International Journal
Test-cost-sensitive attribute reduction
Information Sciences: an International Journal
Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets
Information Sciences: an International Journal
Attribute reduction of data with error ranges and test costs
Information Sciences: an International Journal
Entropies and Co-Entropies of Coverings with Application to Incomplete Information Systems
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Entropy measures and granularity measures for set-valued information systems
Information Sciences: an International Journal
Four matroidal structures of covering and their relationships with rough sets
International Journal of Approximate Reasoning
Nullity-based matroid of rough sets and its application to attribute reduction
Information Sciences: an International Journal
Characteristic matrix of covering and its application to Boolean matrix decomposition
Information Sciences: an International Journal
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Coverings are a useful form of data, while covering-based rough sets provide an effective tool for dealing with this data. Covering-based rough sets have been widely used in attribute reduction and rule extraction. However, few quantitative analyses for covering-based rough sets have been conducted, while many advances for classical rough sets have been obtained through quantitative tools. In this paper, the upper approximation number is defined as a measurement to quantify covering-based rough sets, and a pair of upper and lower approximation operators are constructed using the approximation number. The operators not only inherit some important properties of existing approximation operators, but also exhibit some new quantitative characteristics. It is interesting to note that the upper approximation number of a covering approximation space is similar to the dimension of a vector space or the rank of a matrix.