Rough sets: a new approach to vagueness
Fuzzy logic for the management of uncertainty
Handbook of logic in computer science (vol. 1)
Rough-set reasoning about uncertain data
Fundamenta Informaticae - Special issue: rough sets
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
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Generation of Rules from Incomplete Information Systems
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Handling Various Types of Uncertainty in the Rough Set Approach
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
On the Extension of Rough Sets under Incomplete Information
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
On the Unknown Attribute Values in Learning from Examples
ISMIS '91 Proceedings of the 6th International Symposium on Methodologies for Intelligent Systems
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
Lattices with Interior and Closure Operators and Abstract Approximation Spaces
Transactions on Rough Sets X
On generalizing rough set theory
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
A hierarchical lattice closure approach to abstract rough approximation spaces
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Rough classification in incomplete information systems
Mathematical and Computer Modelling: An International Journal
Topological properties of the pessimistic multigranulation rough set model
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
On the structure of the multigranulation rough set model
Knowledge-Based Systems
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The approach to rough set theory is investigated from the foundational point of view, starting from the formal analysis of the mathematical structures generated by equivalence relations (the standard Pawlak approach to complete information systems) and then by tolerance or similarity relations (the approach to roughness by incomplete information systems). Making use of these approaches the “minimal” meta-theoretical principles which allow one to treat approximations in rough set theory are discussed and formulated in explicit way, in particular the conditions which can assure what can be rightly considered as lower and upper approximations of some approximable set. The hierarchy of approximation spaces generated in this way on a universe is then discussed.