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On Advantages of a Fuzzy Approach to a Diagnosis Support

  • Conference paper
Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 323))

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Abstract

In the paper the problem of norm limits of laboratory tests used in probabilistic and fuzzy approach to diagnosis support is discussed. The fuzzy approach is proposed as the Dempster-Shafer theory extended for fuzzy focal elements. A simple diagnostic problem is simulated for the both approaches and results are commented. Conclusions from the simulation are used to determine the set of rules for a benchmark database. Both the simulation and calculations for the benchmark confirm that a fuzzy interpretation of norm limits can improve a diagnosis.

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Author information

Authors and Affiliations

  1. Institute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 16 Akademicka St., 44-100, Gliwice, Poland

    Ewa Straszecka

Authors
  1. Ewa Straszecka
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Correspondence to Ewa Straszecka .

Editor information

Editors and Affiliations

  1. Ford Motor Company, Research & Advanced Engineering, Dearborn, Mississippi, USA

    D. Filev

  2. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    J. Jabłkowski

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    J. Kacprzyk

  4. Polish Academy of Sciences and WIT - Warsaw School of Information Technology, Systems Research Institute, Warsaw, Poland

    M. Krawczak

  5. Bulgarian Academy of Sciences, Institute of Information and Communication, Sofia, Bulgaria

    I. Popchev

  6. Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

    L. Rutkowski

  7. Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Sofia, Bulgaria

    V. Sgurev

  8. Department of Computer and Information Technologies, “Prof. Assen Zlatarov" University Faculty of Technical Sciences, Bourgas, Bulgaria

    E. Sotirova

  9. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    P. Szynkarczyk

  10. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    S. Zadrozny

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Straszecka, E. (2015). On Advantages of a Fuzzy Approach to a Diagnosis Support. In: Filev, D., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-11310-4_30

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  • DOI: https://doi.org/10.1007/978-3-319-11310-4_30

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11309-8

  • Online ISBN: 978-3-319-11310-4

  • eBook Packages: EngineeringEngineering (R0)

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