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International Symposium on Medical Data Analysis

ISMDA 2000: Medical Data Analysis pp 274–281Cite as

Operator Method of Fuzzification

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1933))

Abstract

This paper presents a contribution to elaboration of theoretical methods of fuzzification. This is a very important problem, which was so far tackled from the side of probability and/or metric (topological) methods. A new method based on Hermit’s operators of quantum mechanics is proposed in this paper. The paper is illustrated with two examples of life sciences systems: an interval of normal concentrations of physiologically active blood substances and a set of old persons.

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References

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Author information

Authors and Affiliations

  1. Epidemiology and Health Services Evaluation Department, Ben-Gurion University of the Negev, P.O.B. 653, 84105, Beersheba, Israel

    Arkady Bolotin

Authors
  1. Arkady Bolotin
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Editor information

Editors and Affiliations

  1. Fachbereich Biologie und Informatik AG Adaptive Systemarchitektur, Johann Wolfgang Goethe-Universität, Robert-Mayer-Str. 11-15, 60054, Frankfurt a.M., Germany

    Rüdiger W. Brause

  2. Klinik für Allgemein- und Gefässchirurgie, Johann Wolfgang Goethe-Universität, Theodor-Stern-Kai 7, 60590, Frankfurt a.M., Germany

    Ernst Hanisch

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© 2000 Springer-Verlag Berlin Heidelberg

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Bolotin, A. (2000). Operator Method of Fuzzification. In: Brause, R.W., Hanisch, E. (eds) Medical Data Analysis. ISMDA 2000. Lecture Notes in Computer Science, vol 1933. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39949-6_33

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  • DOI: https://doi.org/10.1007/3-540-39949-6_33

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41089-8

  • Online ISBN: 978-3-540-39949-0

  • eBook Packages: Springer Book Archive

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