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Making decisions in a two-stage identification system with knowledge updating

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Abstract

In this article, an algorithm for updating knowledge in an adaptive system to support decision making is proposed. Taking into account the specific character of the process, a two-stage identification approach is used. The first stage is built for diagnostic purposes, i.e., the estimated parameters in the first-stage relationship are used to make a decision at the second stage. The proposed algorithms to support decision making at the second stage rest on knowledge extracted from human experts and the effects of the diagnosis (based on identification results) at the first stage. To examine the effectiveness of the proposed algorithm, a numerical simulation of a biomedical problem is carried out.

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References

  1. Brzostowski K, Swiatek J (2008) Selecting scenario in adaptive system with neuro-fuzzy decision maker. Proceedings of the 19th International Conference on Systems Engineering, IEEE, Computer Societies, Las Vegas, USA, pp 195–200

  2. Brzostowski K (2007) Some problems of neuromuscular system identification using two-stage principle. Proceedings of the 16th International Conference on Systems Science, ICSS, Oficyna Wydawnicza, Wroclaw, pp 467–476

  3. Bubnicki Z (2000) Learning process in a class of knowledge-based systems. Kybernets 29:1016–1028

    Article  MATH  Google Scholar 

  4. Frey LL, Shields R (2005) Mathematical models use varying parameter strategies to represent paralyzed muscle force properties: a sensitivity analysis. J Neuroeng Rehabil 2:12

    Article  Google Scholar 

  5. Swiatek J (1978) Two-stage identification and its technical and biomedical applications (in Polish). Scientific Papers of the Institute of Control and Systems Engineering of the Wroclaw Technical University

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Krzysztof Brzostowski & Jerzy Świa̧tek

Authors
  1. Krzysztof Brzostowski
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  2. Jerzy Świa̧tek
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Corresponding author

Correspondence to Krzysztof Brzostowski.

Additional information

This work was presented in part at the 14th International Symposium on Artificial Life and Robotics, Oita, Japan, February 5–7, 2009

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Brzostowski, K., Świa̧tek, J. Making decisions in a two-stage identification system with knowledge updating. Artif Life Robotics 14, 301–305 (2009). https://doi.org/10.1007/s10015-009-0741-7

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  • DOI: https://doi.org/10.1007/s10015-009-0741-7

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