Rules in incomplete information systems
Information Sciences: an International Journal
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
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
A Novel Extension of Rough Set Model in Incomplete Information System
ICICIC '08 Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control
A rough set approach to data with missing attribute values
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Incomplete data and generalization of indiscernibility relation, definability, and approximations
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
Transactions on rough sets VIII
Hybridization of rough sets and statistical learning theory
Transactions on rough sets XIII
Classification systems based on rough sets under the belief function framework
International Journal of Approximate Reasoning
A rough set approach to data with missing attribute values
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Generalized approximations defined by non-equivalence relations
Information Sciences: an International Journal
Dealing with missing data: algorithms based on fuzzy set and rough set theories
Transactions on Rough Sets IV
Extended rough set-based attribute reduction in inconsistent incomplete decision systems
Information Sciences: an International Journal
Inductive learning models with missing values
Mathematical and Computer Modelling: An International Journal
Monadic Algebras: a Standpoint on Rough Sets
Fundamenta Informaticae - Advances in Rough Set Theory
Extended tolerance relation to define a new rough set model in incomplete information systems
Advances in Fuzzy Systems
Information interpretation of knowledge granularity
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
Rough set based pose invariant face recognition with mug shot images
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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In this paper we discuss four kinds of missing attribute values: lost values (the values that were recorded but currently are unavailable), ”do not care” conditions (the original values were irrelevant), restricted ”do not care” conditions (similar to ordinary ”do not care” conditions but interpreted differently, these missing attribute values may occur when in the same data set there are lost values and ”do not care” conditions), and attribute-concept values (these missing attribute values may be replaced by any attribute value limited to the same concept). Through the entire paper the same calculus, based on computations of blocks of attribute-value pairs, is used. Incomplete data are characterized by characteristic relations, which in general are neither symmetric nor transitive. Lower and upper approximations are generalized for data with missing attribute values. Finally, some experiments on different interpretations of missing attribute values and different approximation definitions are cited