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Decision making using belief functions evaluation of information

  • Theory of Evidence
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Advances in Intelligent Computing — IPMU '94 (IPMU 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 945))

Abstract

In this paper, we use the belief functions framework to represent the available information in a decision making problem. We start by presenting the related decision process. Then, we define and caracterize the supporting knowledge of a decision. Finally, we give an evaluation of the confidence in a decision that is supported by a given knowledge.

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Author information

Authors and Affiliations

  1. Institut Supérieur de Gestion de Tunis, 41 Rue de la liberté LeBardo, 2000, Tunisie

    Khaled Mellouli (Professor)

Authors
  1. Khaled Mellouli
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Editor information

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

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© 1995 Springer-Verlag Berlin Heidelberg

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Mellouli, K. (1995). Decision making using belief functions evaluation of information. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Advances in Intelligent Computing — IPMU '94. IPMU 1994. Lecture Notes in Computer Science, vol 945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035939

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  • DOI: https://doi.org/10.1007/BFb0035939

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60116-6

  • Online ISBN: 978-3-540-49443-0

  • eBook Packages: Springer Book Archive

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