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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2008: Artificial Intelligence and Soft Computing – ICAISC 2008 pp 341–350Cite as

Combining Basic Probability Assignments for Fuzzy Focal Elements

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5097))

Abstract

The Dempster-Shafer theory is convenient for implementation in models of medical diagnosis as it neglects dependence of symptoms. Yet, combination of two basic probability assignments that is defined in the theory is often criticized. The paper shows opportunities of combining that are created when the Dempster-Shafer theory is extended for fuzzy focal elements. The proposed method can help to avoid several disadvantages of the classical combination.

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Author information

Authors and Affiliations

  1. Institute of Electronics, Silesian University of Technology, 16 Akademicka St., 44 -100, Gliwice, Poland

    Ewa Straszecka

Authors
  1. Ewa Straszecka
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Editor information

Leszek Rutkowski Ryszard Tadeusiewicz Lotfi A. Zadeh Jacek M. Zurada

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© 2008 Springer-Verlag Berlin Heidelberg

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Straszecka, E. (2008). Combining Basic Probability Assignments for Fuzzy Focal Elements. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_34

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  • DOI: https://doi.org/10.1007/978-3-540-69731-2_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69572-1

  • Online ISBN: 978-3-540-69731-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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