Creation and Evaluation of Fuzzy Knowledge-base

dc.creatorAchs,Ágnes
dc.date2006
dc.date.accessioned2024-02-06T12:54:42Z
dc.date.available2024-02-06T12:54:42Z
dc.descriptionIn this paper we give a possible model for handling uncertain information. The concept of fuzzy knowledge-base will be defined as a quadruple of any background knowledge, defined by the proximity of predicates and terms; a deduction mechanism: a fuzzy Datalog program; a connecting algorithm, which connects the background knowledge with the program and a decoding set of the program, which help us to determine the uncertainty level of the results. Evaluation strategies will also be presented.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-012-09-1087
dc.identifierhttps://lib.jucs.org/article/28652/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/9117
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 12(9): 1087-1103
dc.subjectfuzzy Datalog
dc.subjectfuzzy knowledge-base
dc.subjectproximity
dc.subjectevaluation strategies
dc.titleCreation and Evaluation of Fuzzy Knowledge-base
dc.typeResearch Article
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