Manipulation operations for an interval-extended relational model
Data & Knowledge Engineering
Communications of the ACM
Comparison of rough-set and interval-set models for uncertain reasoning
Fundamenta Informaticae - Special issue: rough sets
A relational model of data for large shared data banks
Communications of the ACM
Data Base Organization for Data Management
Data Base Organization for Data Management
SQL Extension for Interval Data
IEEE Transactions on Knowledge and Data Engineering
A Generalized Definition of Rough Approximations Based on Similarity
IEEE Transactions on Knowledge and Data Engineering
Interval-Set Algebra for Qualitative Knowledge Representation
ICCI '93 Proceedings of the Fifth International Conference on Computing and Information
Algebraic Structures of Rough Sets
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Tools for the Analysis of Interval Arithmetic
Proceedings of the International Symposium on Interval Mathemantics
Decision Rule Extraction and Reduction Based on Grey Lattice Classification
ICMLA '05 Proceedings of the Fourth International Conference on Machine Learning and Applications
Rough intervals: enhancing intervals for qualitative modeling of technical systems
Artificial Intelligence
Kansei engineering and rough sets model
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
A grey-based rough set approach to suppliers selection problem
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
A hybrid grey-based dynamic model for international airlines amount increase prediction
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
On the combination of rough set theory and grey theory based on grey lattice operations
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Study of integrate models of rough sets and grey systems
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
On the generalization of fuzzy rough sets
IEEE Transactions on Fuzzy Systems
Real formal concept analysis based on grey-rough set theory
Knowledge-Based Systems
Information Sciences: an International Journal
A new extension of fuzzy sets using rough sets: R-fuzzy sets
Information Sciences: an International Journal
Attribute dependency functions considering data efficiency
International Journal of Approximate Reasoning
A new grey-rough set model based on interval-valued grey sets
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Information Sciences: an International Journal
Rough sets in the Soft Computing environment
Information Sciences: an International Journal
Computing connected components of simple undirected graphs based on generalized rough sets
Knowledge-Based Systems
Information Sciences: an International Journal
Computers and Industrial Engineering
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A new rough set model for interval data named grey-rough set is proposed in this paper. Information system in the real world are quite complicated. Most of information tables record not only categorical data but also numerical data including a range of interval data. The grey lattice operation in grey system theory is one of the operations for interval data that modifies endpoints non-arithmetically, and which is useful for interval data processing. The grey-rough approximation is based on an interval coincidence relation and an interval inclusion relation instead of an equivalence relation and an indiscernibility relation in Pawlak's model. Numerical examples and four fields of practical examples, decision-making, information retrieval, knowledge discovery and kansei engineering are shown. The advantages of the proposal include: extending a treatable value compared with classical rough set for non-deterministic information systems, providing a maximum solution and minimum solution both in upper and lower approximations, and not only providing mathematical support to SQL but also functions for further extension in the future.