Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Rough Sets and Concept Lattices
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Concept Approximation in Concept Lattice
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
Modal-style operators in qualitative data analysis
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Rough Formal Concepts and Their Accuracies
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Reduction method for concept lattices based on rough set theory and its application
Computers & Mathematics with Applications
Set approximations in fuzzy formal concept analysis
Fuzzy Sets and Systems
A multiview approach for intelligent data analysis based on data operators
Information Sciences: an International Journal
Concept analysis via rough set and AFS algebra
Information Sciences: an International Journal
Real formal concept analysis based on grey-rough set theory
Knowledge-Based Systems
Concept lattices of fuzzy contexts: Formal concept analysis vs. rough set theory
International Journal of Approximate Reasoning
Multi-adjoint t-concept lattices
Information Sciences: an International Journal
Approaches to attribute reduction in concept lattices induced by axialities
Knowledge-Based Systems
Information Sciences: an International Journal
Relation between concept lattice reduction and rough set reduction
Knowledge-Based Systems
Information Sciences: an International Journal
Mining gene expression data with pattern structures in formal concept analysis
Information Sciences: an International Journal
Positive approximation and converse approximation in interval-valued fuzzy rough sets
Information Sciences: an International Journal
Knowledge reduction in decision formal contexts
Knowledge-Based Systems
Rule acquisition and attribute reduction in real decision formal contexts
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on Recent advances on machine learning and Cybernetics
Information Sciences: an International Journal
Note on generating fuzzy concept lattices via Galois connections
Information Sciences: an International Journal
Comparative study of variable precision rough set model and graded rough set model
International Journal of Approximate Reasoning
Approximation in formal concept analysis
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
A partitional view of concept lattice
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Concept lattices vs. approximation spaces
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Attribute reduction in concept lattice based on discernibility matrix
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
The representation and resolution of rough sets based on the extended concept lattice
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Transactions on Rough Sets III
Rough set approximations in formal concept analysis
Transactions on Rough Sets V
Relationships between concept lattice and rough set
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Information Granularity in Fuzzy Binary GrC Model
IEEE Transactions on Fuzzy Systems
Galois Connections and Data Analysis
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P 2003)
Formal query systems on contexts and a representation of algebraic lattices
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
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This paper proposes a rough set model based on formal concept analysis. In this model, a solution to an algebraic structure problem is first provided in an information system: a lattice structure is inferred from the information system and corresponding nodes are called rough concepts. How to deal with common problems in rough set theory based on rough concepts is then explored, such as upper and lower approximation operators, reducts and cores. Decision dependency has become a common form of knowledge representation owing to its properties of expressiveness and ease of understanding, so it has been widely used in practice. Finally, application of rough concepts to the extraction of decision dependencies from a decision table is studied; a complete and non-redundant set of decision dependencies can be obtained from a decision table. Examples demonstrate that application of the method presented in this paper is valid and practicable. The results not only provide a better understanding of rough set theory from the perspective of formal concept analysis, but also demonstrate a new way of combining rough set theory and formal concept analysis.