Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Associatively tied implications
Fuzzy Sets and Systems - Theme: Basic concepts
Concept lattices and similarity in non-commutative fuzzy logic
Fundamenta Informaticae
Fuzzy inference based on fuzzy concept lattice
Fuzzy Sets and Systems
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
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
Concept similarity in Formal Concept Analysis: An information content approach
Knowledge-Based Systems
A framework for integrating information sources under lattice structure
Information Fusion
Relations of attribute reduction between object and property oriented concept lattices
Knowledge-Based Systems
Generating complete set of implications for formal contexts
Knowledge-Based Systems
Concept analysis via rough set and AFS algebra
Information Sciences: an International Journal
Formal concept analysis via multi-adjoint concept lattices
Fuzzy Sets and Systems
Treatment of L-Fuzzy contexts with absent values
Information Sciences: an International Journal
Real formal concept analysis based on grey-rough set theory
Knowledge-Based Systems
On fuzzy unfolding: A multi-adjoint approach
Fuzzy Sets and Systems
Ontology-based concept similarity in Formal Concept Analysis
Information Sciences: an International Journal
Systemic approach to fuzzy logic formalization for approximate reasoning
Information Sciences: an International Journal
Extending conceptualisation modes for generalised Formal Concept Analysis
Information Sciences: an International Journal
Determination of α-resolution in lattice-valued first-order logic LF(X)
Information Sciences: an International Journal
Information Sciences: an International Journal
Note on generating fuzzy concept lattices via Galois connections
Information Sciences: an International Journal
Fuzzy Optimization and Decision Making
Rough set theory applied to lattice theory
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
The Category of L-Chu Correspondences and the Structure of L-Bonds
Fundamenta Informaticae - Concept Lattices and Their Applications
A comparative study of adjoint triples
Fuzzy Sets and Systems
Rough set model based on formal concept analysis
Information Sciences: an International Journal
Dual multi-adjoint concept lattices
Information Sciences: an International Journal
Formal query systems on contexts and a representation of algebraic lattices
Information Sciences: an International Journal
On the classification of fuzzy-attributes in multi-adjoint concept lattices
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Multi-adjoint relation equations: Definition, properties and solutions using concept lattices
Information Sciences: an International Journal
On heterogeneous formal contexts
Fuzzy Sets and Systems
On equivalence of conceptual scaling and generalized one-sided concept lattices
Information Sciences: an International Journal
A novel cognitive system model and approach to transformation of information granules
International Journal of Approximate Reasoning
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The t-concept lattice is introduced as a set of triples associated to graded tabular information interpreted in a non-commutative fuzzy logic. Following the general techniques of formal concept analysis, and based on the works by Georgescu and Popescu, given a non-commutative conjunctor it is possible to provide generalizations of the mappings for the intension and the extension in two different ways, and this generates a pair of concept lattices. In this paper, we show that the information common to both concept lattices can be seen as a sublattice of the Cartesian product of both concept lattices. The multi-adjoint framework can be applied to this general t-concept lattice, and its usefulness is illustrated by a working example.