Advances in the Dempster-Shafer theory of evidence
A new version of the rule induction system LERS
Fundamenta Informaticae
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
Rough Sets in Knowledge Discovery 2: Applications, Case Studies, and Software Systems
A Logic Programming Framework for Rough Sets
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
A view on rough set concept approximations
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
On k-NN Method with Preprocessing
Fundamenta Informaticae
Hierarchical Classifiers for Complex Spatio-temporal Concepts
Transactions on Rough Sets IX
Research on a Novel Data Mining Method Based on the Rough Sets and Neural Network
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Esoteric rough set theory: algebraic semantics of a generalized VPRS and VPFRS
Transactions on rough sets VIII
Modeling rough granular computing based on approximation spaces
Information Sciences: an International Journal
Ontology driven concept approximation
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Rough set approximation based on dynamic granulation
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Approximate boolean reasoning approach to rough sets and data mining
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Improving rough classifiers using concept ontology
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Approximate boolean reasoning: foundations and applications in data mining
Transactions on Rough Sets V
On k-NN Method with Preprocessing
Fundamenta Informaticae
A View on Rough Set Concept Approximations
Fundamenta Informaticae - The 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Conputing (RSFDGrC 2003)
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The concept of approximation is one of the most fundamental in rough set theory. In this work we examine this basic notion as well as its extensions and modifications. The goal is to construct a parameterised approximation mechanism making it possible to develop multi-stage multi-level concept hierarchies that are capable of maintaining acceptable level of imprecision from input to output.