Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Granular computing: an emerging paradigm
Granular computing: an emerging paradigm
Data mining, rough sets and granular computing
Data mining, rough sets and granular computing
Maximal consistent block technique for rule acquisition in incomplete information systems
Information Sciences: an International Journal
Rough Set Theory and Granular Computing
Rough Set Theory and Granular Computing
Granular computing and dual Galois connection
Information Sciences: an International Journal
Intelligent social network analysis using granular computing
International Journal of Intelligent Systems
Handbook of Granular Computing
Handbook of Granular Computing
Knowledge structure, knowledge granulation and knowledge distance in a knowledge base
International Journal of Approximate Reasoning
Granular Computing and Knowledge Reduction in Formal Contexts
IEEE Transactions on Knowledge and Data Engineering
Toward a Theory of Granular Computing for Human-Centered Information Processing
IEEE Transactions on Fuzzy Systems
Knowledge acquisition in inconsistent multi-scale decision systems
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Rough set approximations in incomplete multi-scale information systems
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
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In this paper, rough set approximations based on labelled blocks are explored. The concept of labelled blocks determined by a function is first introduced. Lower and upper label-block approximations of sets are then defined. Properties of label-block approximation operators are also examined. Finally, relationship between properties of label-block approximation operators and some essential properties of the corresponding function is characterized.