Discovering knowledge from fuzzy concept lattice
Data mining and computational intelligence
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Multi-adjoint Logic Programming with Continuous Semantics
LPNMR '01 Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning
Formal concept analysis via multi-adjoint concept lattices
Fuzzy Sets and Systems
Multi-adjoint t-concept lattices
Information Sciences: an International Journal
Note on generating fuzzy concept lattices via Galois connections
Information Sciences: an International Journal
On possible generalization of fuzzy concept lattices using dually isomorphic retracts
Information Sciences: an International Journal
On multi-adjoint concept lattices based on heterogeneous conjunctors
Fuzzy Sets and Systems
A comparative study of adjoint triples
Fuzzy Sets and Systems
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We propose a new type of fuzzification for formal concept analysis that works with heterogeneous values in a context and illustrate this with an example. We formulate and prove an appropriate counterpart to the so-called basic theorem of a concept lattice. We show that this is a generalization of the previous approaches: it covers the so-called generalized concept lattice and multi-adjoint t-concept lattices.