Fuzzy Datalog with background knowledge

A tétel rövid nézete
dc.contributor.authorAchs, Ágnes
dc.date.accessioned2024-09-04T09:45:16Z
dc.date.available2024-09-04T09:45:16Z
dc.date.issued2005-12-01
dc.description.abstractIn this paper we give a possible model for handling uncertain information. The concept of fuzzy knowledge-base will be defined as a triplet of a background knowledge defined by the similarity of predicates and terms; a deduction mechanism: a fuzzy Datalog program, and a decoding set of the program, which help us to determine the uncertainty level of the results.en
dc.formatapplication/pdf
dc.identifier.citationTeaching Mathematics and Computer Science, Vol. 3 No. 2 (2005) , 257-281
dc.identifier.doihttps://doi.org/10.5485/TMCS.2005.0098
dc.identifier.eissn2676-8364
dc.identifier.issn1589-7389
dc.identifier.issue2
dc.identifier.jatitleTeach. Math. Comp. Sci.
dc.identifier.jtitleTeaching Mathematics and Computer Science
dc.identifier.urihttps://hdl.handle.net/2437/379561
dc.identifier.volume3
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/tmcs/article/view/14751
dc.rights.accessOpen Access
dc.rights.ownerÁgnes Achs
dc.subjectfuzzy knowledge-baseen
dc.subjectfuzzy Datalogen
dc.subjectevaluation of fuzzy knowledge-baseen
dc.titleFuzzy Datalog with background knowledgeen
dc.typefolyóiratcikkhu
dc.typearticleen
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Teaching Mathematics and Computer Science (DE-journals)