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International Conference on Information and Software Technologies

ICIST 2019: Information and Software Technologies pp 3–11Cite as

Forecasting the Level of Expert Knowledge Using the GMDH Method

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1078))

Abstract

The expert knowledge is a very important resource for the development of an enterprise, but due to its unpredictable nature, it also very difficult to manage. Due to the growing phenomenon of frequent employee turnover in companies, it is necessary to keep such knowledge in the company and then to forecast its level in order to determine the type of missing knowledge in the company for the implementation of further projects/orders. In this paper a model for forecasting the level of expert knowledge, which assumes the use of the GMDH (Group Method of Data Handling) has been proposed. The model consists of the following elements: (1) formalised, expert knowledge acquired which is stored in the knowledge base, (2) level of knowledge in the enterprise, as the result of the clustering of acquired expert knowledge using the Bayesian network, (3) the GMDH method. Finally this model is implemented in a real case study from the Research and development department of a manufacturing company.

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Acknowledgments

This work is supported by program of the Polish Minister of Science and Higher Education under the name ‘‘Regional Initiative of Excellence” in 2019–2022, project no. 003/RID/2018/19, funding amount 11 936 596.10 PLN.

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Authors and Affiliations

  1. Institute of Computer Science and Production Management, University of Zielona Góra, Zielona Góra, Poland

    Justyna Patalas-Maliszewska, Małgorzata Śliwa & Sławomir Kłos

Authors
  1. Justyna Patalas-Maliszewska
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  2. Małgorzata Śliwa
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  3. Sławomir Kłos
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Correspondence to Justyna Patalas-Maliszewska .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damaševičius

  2. Kaunas University of Technology, Kaunas, Lithuania

    Giedrė Vasiljevienė

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Patalas-Maliszewska, J., Śliwa, M., Kłos, S. (2019). Forecasting the Level of Expert Knowledge Using the GMDH Method. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2019. Communications in Computer and Information Science, vol 1078. Springer, Cham. https://doi.org/10.1007/978-3-030-30275-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-30275-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30274-0

  • Online ISBN: 978-3-030-30275-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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