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Production Rule and Network Structure Models for Knowledge Extraction from Complex Processes Under Uncertainty

  • Boriana VatchovaEmail author
  • Alexander Gegov
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 657)

Abstract

This paper considers processes with many inputs and outputs from different application areas. Some parts of the inputs are measurable and others are not because of the presence of stochastic environmental factors. This is the reason why processes of this kind operate under uncertainty. As some factors cannot be measured and reflected into the process model, data mining methods cannot be applied. The proposed approach which can be applied in this case is based on artificial intelligence methods[1].

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  1. 1.Institute of Information and Communication Technologies, Bulgarian Academy of SciencesSofiaBulgaria
  2. 2.School of ComputingUniversity of PortsmouthPortsmouthUK

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