Abstract
This article deal with the development of imitative and mathematical decision making models in knowledge management training systems based on fuzzy modeling and multi-agent technologies. These approaches enable the authors to solve a lot of problems with the help of classifier learning agents and classifier combinational agents connected by informative exchange procedures. Information management is conceived as a combination of systematic attainment, synthesis, knowledge exchange and use.
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Kureichik, V.V., Kravchenko, Y.A., Bova, V.V. (2015). Decision Support Systems for Knowledge Management. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Software Engineering in Intelligent Systems. Advances in Intelligent Systems and Computing, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-319-18473-9_13
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DOI: https://doi.org/10.1007/978-3-319-18473-9_13
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