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A Generalized Uncertainty Function and Fuzzy Modeling

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Medical Data Analysis (ISMDA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2199))

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Abstract

In this paper, a new hypothesis concerning the relationship between fuzzy truth values and probabilities is put forward. According to the hypothesis, the possibility distribution function and probability density function are not independent mathematical entities, but only different forms of a generalized uncertainty function.

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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, Beersheba, P.O.B. 653, Israel

    Arkady Bolotin

Authors
  1. Arkady Bolotin
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Editor information

Editors and Affiliations

  1. Polytechnical University of Madrid Artificial Intelligence Laboratory, Medical Informatics Group, 28660, Boadilla del Monte (Madrid), Spain

    Jose Crespo  & Victor Maojo  & 

  2. Health Bioinformatics Unit, Institute of Health Carlos III, Ctra. de Majadahonda-Pozuelo Km.2, 28220, Majadahonda (Madrid), Spain

    Fernando Martin

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© 2001 Springer-Verlag Berlin Heidelberg

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Bolotin, A. (2001). A Generalized Uncertainty Function and Fuzzy Modeling. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_11

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  • DOI: https://doi.org/10.1007/3-540-45497-7_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42734-6

  • Online ISBN: 978-3-540-45497-7

  • eBook Packages: Springer Book Archive

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