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Defining Membership Functions

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Fuzzy Systems in Medicine

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 41))

Abstract

The chapter presents basic concepts and methods used in defining membership functions of fuzzy sets. Usual problems of fuzzy set applications connected with the universe of discourse, shape, and accuracy of membership functions as well as with their acquisition are discussed. An example of a fuzzy set application to a medical score test modelling is given. In the example a modified Takagi-Sugeno algorithm of fuzzy identification is described. Conclusions about present customs and suggestions of future trends in defining membership functions close the study.

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Author information

Authors and Affiliations

  1. Division of Biomedical Engineering Institute of Electronics, Silesian University of Technology, 16 Akademicka St., 44-101, Gliwice, Poland

    Ewa Straszecka

Authors
  1. Ewa Straszecka
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Technical University of Łódź, ul. Sterlinga 16/18, 90-217, Łódź, Poland

    Piotr S. Szczepaniak PhD, DSc (Associate Professor) (Associate Professor)

  2. School of Computing and Mathematical Science, Liverpool John Moores University, L33AF, Liverpool, UK

    Paulo J. G. Lisboa

  3. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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© 2000 Springer-Verlag Berlin Heidelberg

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Straszecka, E. (2000). Defining Membership Functions. In: Szczepaniak, P.S., Lisboa, P.J.G., Kacprzyk, J. (eds) Fuzzy Systems in Medicine. Studies in Fuzziness and Soft Computing, vol 41. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1859-8_2

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  • DOI: https://doi.org/10.1007/978-3-7908-1859-8_2

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-662-00395-4

  • Online ISBN: 978-3-7908-1859-8

  • eBook Packages: Springer Book Archive

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