Abstract

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.

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Cite this article

@article{cai-1623,
  author  = {Ágnes Achs},
  title   = {Computed Answer from Uncertain Knowledge: A Model for Handling Uncertain Information},
  journal = {Computing and Informatics},
  volume  = {26},
  number  = {1},
  pages   = {63--76},
  year    = {2007},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2007/1/computed-answer-from-uncertain-knowledge-a-model-for-handling-uncertain-information/}
}
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