Fuzzy Relational Systems: Foundations and Principles
Fuzzy Relational Systems: Foundations and Principles
Introduction to logical information systems
Information Processing and Management: an International Journal
A Possibility-Theoretic View of Formal Concept Analysis
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Formal concept analysis via multi-adjoint concept lattices
Fuzzy Sets and Systems
Many-Valued Concept Lattices for Conceptual Clustering and Information Retrieval
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Interval-Valued Fuzzy Formal Concept Analysis
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Interval-Valued Fuzzy Galois Connections: Algebraic Requirements and Concept Lattice Construction
Fundamenta Informaticae - Methodologies for Intelligent Systems
Treating incomplete knowledge in formal concept analysis
Formal Concept Analysis
Rough set approximations in formal concept analysis
Transactions on Rough Sets V
About projection-selection-join queries addressed to possibilistic relational databases
IEEE Transactions on Fuzzy Systems
A possibility theory-oriented discussion of conceptual pattern structures
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Extended Galois derivation operators for information retrieval based on fuzzy formal concept lattice
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Fuzzy Optimization and Decision Making
Possibility theory and formal concept analysis: Characterizing independent sub-contexts
Fuzzy Sets and Systems
A formal concept view of abstract argumentation
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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Formal Concept Analysis uses a simple representation framework called 'formal context'. In the classical setting, a formal context specifies existing Boolean relationships between a set of objects and their corresponding properties. Formal concepts are then defined as pairs consisting of a set of objects and a set of properties that mutually characterize each other through a Galois connection. Another Galois connection is also introduced in this setting on the basis of operators induced by a recent possibility theory reading of Formal Concept Analysis. It is shown that this second Galois connection enables us to characterize independent sub-contexts inside the formal context. The second part of the paper discusses an extension of Formal Concept Analysis that has not been much studied, namely the situation where one may be uncertain on the fact that an object possesses or not a Boolean property. Uncertainty is here represented in the possibilistic representation framework.