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Modeling Trends in the Hierarchical Fuzzy System for Multi-criteria Evaluation of Medical Data

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Advances in Fuzzy Logic and Technology 2017 (EUSFLAT 2017, IWIFSGN 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 643))

Abstract

The paper presents the analysis and application of hierarchical fuzzy system to the problem of evaluation/measurement of the rehabilitation effects in post-stroke patients. Healthy people constitute reference group. Prevalence and impact of the stroke-related disorders on Health-Related Quality of Life (HRQoL) as a recognized and important outcome after stroke is huge. Quick, valid and reliable assessment of HRQoL in people after stroke constitutes a worldwide significant problem for scientists and clinicians - there are many tools, but no one fulfills all requirements or has prevailing advantages. Evaluation model presented here is improved version of earlier attempts and applies the potential of fuzzy systems for linguistic modeling of rules. It provides a great advantage as there are experienced clinicians working on the improvement of the rehabilitation methods but there is no intuitive formal model to measure their effects. The innovative element here is the use of Ordered Fuzzy Number model. It is a good tool for modeling the trends in information used to create the fuzzy rules of small fuzzy systems which together form a hierarchical fuzzy evaluation model.

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Author information

Authors and Affiliations

  1. Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University, ul. Kopernika 1, 85-074, Bydgoszcz, Poland

    Piotr Prokopowicz, Dariusz Mikołajewski & Krzysztof Tyburek

  2. Department of Physiotherapy, Ludwik Rydygier Collegium Medicum, Nicolaus Copernicus University, ul. Jagiellonska 13-15, 85-094, Bydgoszcz, Poland

    Emilia Mikołajewska

Authors
  1. Piotr Prokopowicz
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  2. Dariusz Mikołajewski
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  3. Emilia Mikołajewska
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  4. Krzysztof Tyburek
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Corresponding author

Correspondence to Piotr Prokopowicz .

Editor information

Editors and Affiliations

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

    Janusz Kacprzyk

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

    Eulalia Szmidt

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

    Slawomir Zadrożny

  4. Institute of Biophysics and Biomedical Engineering, Department of Bioinformatics and Mathematical Modelling, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir T. Atanassov

  5. WIT - Warsaw School of Information Technology, Warsaw, Poland

    Maciej Krawczak

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Prokopowicz, P., Mikołajewski, D., Mikołajewska, E., Tyburek, K. (2018). Modeling Trends in the Hierarchical Fuzzy System for Multi-criteria Evaluation of Medical Data. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-66827-7_19

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  • DOI: https://doi.org/10.1007/978-3-319-66827-7_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66826-0

  • Online ISBN: 978-3-319-66827-7

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