[HTML][HTML] Block relations in formal fuzzy concept analysis
J Konecny, M Krupka - International Journal of Approximate Reasoning, 2016 - Elsevier
J Konecny, M Krupka
International Journal of Approximate Reasoning, 2016•ElsevierOne of the main problems in formal concept analysis (especially in fuzzy setting) is to reduce
a concept lattice of a formal context to appropriate size to make it graspable and
understandable. A natural way to do it is to substitute the formal context by its block relation
which is equivalent to factorization of the concept lattice by a complete tolerance. We
generalize known results on the correspondence of block relations of formal contexts and
complete tolerances on concept lattices to fuzzy setting and we provide an illustrative …
a concept lattice of a formal context to appropriate size to make it graspable and
understandable. A natural way to do it is to substitute the formal context by its block relation
which is equivalent to factorization of the concept lattice by a complete tolerance. We
generalize known results on the correspondence of block relations of formal contexts and
complete tolerances on concept lattices to fuzzy setting and we provide an illustrative …
Abstract
One of the main problems in formal concept analysis (especially in fuzzy setting) is to reduce a concept lattice of a formal context to appropriate size to make it graspable and understandable. A natural way to do it is to substitute the formal context by its block relation which is equivalent to factorization of the concept lattice by a complete tolerance. We generalize known results on the correspondence of block relations of formal contexts and complete tolerances on concept lattices to fuzzy setting and we provide an illustrative example of using block relations to reduce the size of a concept lattice.
Elsevier
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