Instance-Based Learning Algorithms
Machine Learning
Case-based reasoning: a research paradigm
AI Magazine
Variable precision rough set model
Journal of Computer and System Sciences
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems
Generating Accurate Rule Sets Without Global Optimization
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning fuzzy rules from fuzzy samples based on rough set technique
Information Sciences: an International Journal
Fuzzy-rough nearest neighbor algorithms in classification
Fuzzy Sets and Systems
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
A New Approach to Fuzzy-Rough Nearest Neighbour Classification
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Fuzzy rough sets with hierarchical quantitative attributes
Expert Systems with Applications: An International Journal
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
A Fast and Scalable Fuzzy-rough Nearest Neighbor Algorithm
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
New approaches to fuzzy-rough feature selection
IEEE Transactions on Fuzzy Systems
Fuzzy rough sets and multiple-premise gradual decision rules
International Journal of Approximate Reasoning
Interval-valued fuzzy-rough feature selection in datasets with missing values
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Rule extraction with rough-fuzzy hybridization method
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Fuzzy-Rough set based nearest neighbor clustering classification algorithm
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
A comparative study of rough sets for hybrid data
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Solving systems of fuzzy relation equations by fuzzy property-oriented concepts
Information Sciences: an International Journal
A matroidal approach to rough set theory
Theoretical Computer Science
A novel feature selection method and its application
Journal of Intelligent Information Systems
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Nearest neighbour (NN) approaches are inspired by the way humans make decisions, comparing a test object to previously encountered samples. In this paper, we propose an NN algorithm that uses the lower and upper approximations from fuzzy-rough set theory in order to classify test objects, or predict their decision value. It is shown experimentally that our method outperforms other NN approaches (classical, fuzzy and fuzzy-rough ones) and that it is competitive with leading classification and prediction methods. Moreover, we show that the robustness of our methods against noise can be enhanced effectively by invoking the approximations of the Vaguely Quantified Rough Set (VQRS) model, which emulates the linguistic quantifiers ''some'' and ''most'' from natural language.