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