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Computed Answer from Uncertain Knowledge: A Model for Handling Uncertain Information

In: Computing and Informatics, vol. 26, no. 1
Ágnes Achs

Details:

Year, pages: 2007, 63 - 76
Keywords:
Uncertainty modelling, knowledge-based systems, fuzzy sets
About article:
In this work we present a model for handling uncertain information. The concept of fuzzy knowledge-base is defined as a quadruple of background knowledge. Specifically, the latter is 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 helps us determine the uncertainty level of the results. We also suggest a possible evaluation strategy.
How to cite:
ISO 690:
Achs, Á. 2007. Computed Answer from Uncertain Knowledge: A Model for Handling Uncertain Information. In Computing and Informatics, vol. 26, no.1, pp. 63-76. 1335-9150.

APA:
Achs, Á. (2007). Computed Answer from Uncertain Knowledge: A Model for Handling Uncertain Information. Computing and Informatics, 26(1), 63-76. 1335-9150.