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Volume 12 / Issue 9

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DOI:   10.3217/jucs-012-09-1087


Creation and Evaluation of Fuzzy Knowledge-base

Ágnes Achs (University of Pécs, Hungary)

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: evaluation strategies, fuzzy Datalog, fuzzy knowledge-base, proximity

Categories: I.2.3