JUCS - Journal of Universal Computer Science 12(9): 1087-1103, doi: 10.3217/jucs-012-09-1087
Creation and Evaluation of Fuzzy Knowledge-base
expand article infoÁgnes Achs‡
‡ University of Pécs, Hungary

Corresponding author: Ágnes Achs ( achs@witch.pmmf.hu )

© Ágnes Achs.
This article is freely available under the J.UCS Open Content License.
Citation: Achs Á (2006) Creation and Evaluation of Fuzzy Knowledge-base. JUCS - Journal of Universal Computer Science 12(9): 1087-1103. https://doi.org/10.3217/jucs-012-09-1087
Open Access
Abstract
In 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.
Keywords
fuzzy Datalog, fuzzy knowledge-base, proximity, evaluation strategies