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Computational Intelligence, Medicine and Biology pp 39–56Cite as

A Fuzzy Logic Approach to Measure of Weight Status and Central Fatness in Adults and Adolescents

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 600))

Abstract

Body mass index (BMI) as a measure of body weight status (BWtS) and waist circumference (WC) and/or waist-to-height ratio (WHtR) as a measure of central fatness (CF) are the most widely used indices of the cardio-metabolic risks (CMR) in prophylactic and clinical practice. The chapter presents, coherent for adults and adolescents, fuzzy models of both BWtS and CF as well as their usefulness in the assessments of CMR. For the construction of a membership function (MF), the Zadehs Extension Principle (EP) and mapping of the BMI fuzzy sets into adequate CF fuzzy sets using different transformation functions are applied. Taking advantage of the results of a screening study, the CF membership functions for the adult population of the city of Lodz (Poland) as well as for its adolescent population are presented. MF design based on the EP theory is a useful methodology for an estimation of the CF fuzzy subsets and, consequently, for a better assessment of CMR and other medical diagnostic applications.

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Author information

Authors and Affiliations

  1. Chair of Experimental and Clinical Physiology, Department of Biophysics, Medical University of Lodz, Lodz, Poland

    Tadeusz Nawarycz, Maciej Gazicki-Lipman & Lidia Ostrowska-Nawarycz

  2. Faculty of Physics and Applied Informatics, University of Lodz, Lodz, Poland

    Krzysztof Pytel

  3. Department of Social and Preventive Medicine, Medical University of Lodz, Lodz, Poland

    Wojciech Drygas

Authors
  1. Tadeusz Nawarycz
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  2. Krzysztof Pytel
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  3. Wojciech Drygas
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  4. Maciej Gazicki-Lipman
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  5. Lidia Ostrowska-Nawarycz
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Corresponding author

Correspondence to Tadeusz Nawarycz .

Editor information

Editors and Affiliations

  1. Sci. & Knwlge & Eng., Zamosc, Poland & Kwldge.Eng. Inst.of Biomedcal Infomtcs, Univ. of Mgmt & Adm Univ. of Info.Tech.,, Rzeszow, Poland

    Krzysztof Pancerz

  2. Department of Informatics, University of Zilina, Zilina, Slovakia

    Elena Zaitseva

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Nawarycz, T., Pytel, K., Drygas, W., Gazicki-Lipman, M., Ostrowska-Nawarycz, L. (2015). A Fuzzy Logic Approach to Measure of Weight Status and Central Fatness in Adults and Adolescents. In: Pancerz, K., Zaitseva, E. (eds) Computational Intelligence, Medicine and Biology. Studies in Computational Intelligence, vol 600. Springer, Cham. https://doi.org/10.1007/978-3-319-16844-9_3

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  • DOI: https://doi.org/10.1007/978-3-319-16844-9_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16843-2

  • Online ISBN: 978-3-319-16844-9

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