Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
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
Formal concept analysis via multi-adjoint concept lattices
Fuzzy Sets and Systems
Formal concept analysis for an e-learning semantic web
Expert Systems with Applications: An International Journal
Short Communication: Concept lattice reduction using fuzzy K-Means clustering
Expert Systems with Applications: An International Journal
Multi-adjoint t-concept lattices
Information Sciences: an International Journal
Attribute reduction in fuzzy concept lattices based on the T implication
Knowledge-Based Systems
Relation between concept lattice reduction and rough set reduction
Knowledge-Based Systems
Isotone fuzzy Galois connections with hedges
Information Sciences: an International Journal
Semantic Web search based on rough sets and Fuzzy Formal Concept Analysis
Knowledge-Based Systems
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
Formal concept analysis based on fuzzy granularity base for different granulations
Fuzzy Sets and Systems
Relating attribute reduction in formal, object-oriented and property-oriented concept lattices
Computers & Mathematics with Applications
A comparative study of adjoint triples
Fuzzy Sets and Systems
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In formal concept analysis, attribute reduction is an important preprocessing in order to obtain concept lattices, which provides fundamental information of the attributes, as well. This importance is increased in the fuzzy case. This paper presents, in the general fuzzy framework of multi-adjoint concept lattices, a classification of the fuzzy-attributes of a context, which provides interesting properties of the attributes and its application to reduce the computational complexity for building this kind of concept lattices.