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IEEE Transactions on Knowledge and Data Engineering
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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
Multi-adjoint t-concept lattices
Information Sciences: an International Journal
Attribute reduction in fuzzy concept lattices based on the T implication
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Approaches to attribute reduction in concept lattices induced by axialities
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Knowledge reduction in decision formal contexts
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RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Information Sciences: an International Journal
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Knowledge-Based Systems
The Category of L-Chu Correspondences and the Structure of L-Bonds
Fundamenta Informaticae - Concept Lattices and Their Applications
Rough set model based on formal concept analysis
Information Sciences: an International Journal
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International Journal of Approximate Reasoning
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One of the main concepts in grey system theory is how systems should be controlled under incomplete or lack of information situation. Grey number denoting an uncertain value is described in real interval from this concept. In this paper, we introduce the real formal concept analysis based on grey-rough set theory by using grey numbers, instead of binary values. We propose, to extend the notion of Galois connection in a real binary relation as well as the notions of formal concept and Galois lattice. The relationships between the new notions and old ones are discussed. Finally, we present a grey-rough set approach to Galois lattices reduction.