Concept lattices and order in fuzzy logic
By R. Belohlávek. Annals of Pure and Applied Logic, 2004
504 citations recorded by the source corpus.
Abstract The theory of concept lattices (i.e. hierarchical structures of concepts in the sense of Port-Royal school) is approached from the point of view of fuzzy logic. The notions of partial order, lattice order, and formal concept are generalized for fuzzy setting. Presented is a theorem characterizing the hierarchical structure of formal fuzzy concepts arising in a given formal fuzzy context. Also, as an application of the present approach, Dedekind–MacNeille completion of a partial fuzzy order is described. The approach and results provide foundations for formal concept analysis of vague data—the propositions “object x has attribute y ”, which form the input data to formal concept analysis, are now allowed to have also intermediate truth values, meeting reality better.
Subfields: Computational Theory and Mathematics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ff2203b60a7ac5e6b1d9daf08347639d4264002c
Citations in the corpus
- Discovery of optimal factors in binary data via a novel method of matrix decomposition (2010, unknown): “[3,4].”