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On the combination of information sources

  • 1. Mathematical Theory Of Evidence
  • Conference paper
  • First Online:
Uncertainty in Knowledge Bases (IPMU 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 521))

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Abstract

Subject of this paper is a thorough modeling of uncertain knowledge based on the theory of belief functions. In this context it has to be taken into account, that some experts state of mind changes in the light of new information, thus we introduce the notion of an information source. Considering the integration of information sources it turns out that this approach leads to Dempster's well-known rule of combination.

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5-References

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  3. GOODMAN, J.R. and NGUYEN, H.C., 1985, Uncertainty models for knowledge based systems, North Holland, Amsterdam.

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Author information

Authors and Affiliations

  1. Institut für Betriebssysteme und Rechnerverbund TU Braunschweig, Bültenweg 74/75, 3300, Braunschweig, West Germany

    R. Kruse & E. Schwecke

Authors
  1. R. Kruse
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  2. E. Schwecke
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Editor information

Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

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© 1991 Springer-Verlag Berlin Heidelberg

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Kruse, R., Schwecke, E. (1991). On the combination of information sources. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028113

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  • DOI: https://doi.org/10.1007/BFb0028113

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54346-6

  • Online ISBN: 978-3-540-47580-4

  • eBook Packages: Springer Book Archive

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