dc.contributor.author | Bělohlávek, Radim | |
dc.date.accessioned | 2006-11-09T08:46:45Z | |
dc.date.available | 2006-11-09T08:46:45Z | |
dc.date.issued | 2000 | |
dc.identifier.citation | Journal of Logic and Computation. 2000, vol. 10, no. 6, p. 823-845. | en |
dc.identifier.issn | 0955-792X | |
dc.identifier.issn | 1465-363X | |
dc.identifier.uri | http://hdl.handle.net/10084/57993 | |
dc.language.iso | en | en |
dc.publisher | Oxford University Press | en |
dc.relation.ispartofseries | Journal of Logic and Computation | en |
dc.relation.uri | https://doi.org/10.1093/logcom/10.6.823 | en |
dc.subject | concept | en |
dc.subject | similarity | en |
dc.subject | fuzzy logic | en |
dc.subject | residuated lattice | en |
dc.subject | concept lattice | en |
dc.subject | tolerance | en |
dc.title | Similarity relations in concept lattices | en |
dc.type | article | en |
dc.identifier.location | Není ve fondu ÚK | en |
dc.description.abstract-en | This paper studies the issue of similarity relations in fuzzy concept lattices. Fuzzy concepts and fuzzy concept lattices represent a formal approach to the modelling of non-sharp (fuzzy) concepts and conceptual structures in the sense of traditional (Port-Royal) logic. Applications of concept lattices are in representation of conceptual knowledge and in conceptual analysis of (fuzzy) data. Similarity relations are defined and considered on three levels: similarity of objects (and similarity of attributes), similarity of concepts, and similarity of concept lattices. We show a way to factorize (simplify) concept lattices by the similarity of concepts. Also shown is how to reduce the computation of the similarity relations. | en |
dc.identifier.doi | 10.1093/logcom/10.6.823 | |
dc.identifier.wos | 000166015200003 | |