Expected Utility Networks in Transferable Belief Model (original) (raw)

Abstract

Traditional Bayesian decision analysis is based on probability theory and utility theory. However, expected utility model can be derived also in the other models proposed to quantify someone’s belief. We shall deal only with the transferable belief model. The purpose of this paper is to introduce a new class of graphical representation to simplify the decision process.

This work has been supported by the grant No. 2/1102/21 of the Scientific Grant Agency of Ministry of Education of Slovak Republik and Slovak Academy of Sciences.

Preview

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Ben Yaghlane, B., Smets, P., Mellouli, K.: Independence and non-interactivity in the transferable belief model. In: Workshop on conditional independence structures and graphical models. F. Matús and M. Studený (Eds.). Abstract book. Toronto, Canada, (1999) 4–5
    Google Scholar
  2. Dubois, D. and Prade, H.: Decision Evaluation Methods under Uncertainty and Imprecision. In: Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making. J. Kacprzyk and M. Federizzi (Eds.), Springer, (1987) 48–65
    Google Scholar
  3. Mura, P. and Shoham, Y.: Expected Utility Networks. In: Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence. K.B. Laskey and H. Prade (Eds.), Morgan Kaufmann Publishers, Inc. San Francisco, (1999)
    Google Scholar
  4. Smets, P.: Constructing the Pignistic Probability Function in a Context of Uncertainty. In: Uncertainty in Artificial Intelligence. M. Henrion, R. Shachter, L.N. Kanal and J. Lemmer (Eds.),5 North-Holland, Amsterdam, (1990) 29–40
    Google Scholar
  5. Smets, P.: Decision Making in a Context where Uncertainty is Represented by Belief Functions. In:Belief Functions in Business Decisions. Srivastava, R.(Eds.) Physica Verlag. Forthcoming. (2001)
    Google Scholar
  6. Smets, P. and Kennes, R.: The Transferable Belief Model. Artif. Intell. 66 (1994) 191–234
    Article MATH MathSciNet Google Scholar

Download references

Author information

Authors and Affiliations

  1. Institute of Control Theory and Robotics, Slovak Academy of Sciences, Dúbravská cesta 9, 842 37, Bratislava, Slovakia
    Anna Slobodová

Editor information

Editors and Affiliations

  1. Computer Science I, University of Dortmund, 44221, Dortmund, Germany
    Bernd Reusch

Rights and permissions

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Slobodová, A. (2001). Expected Utility Networks in Transferable Belief Model. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4\_79

Download citation

Publish with us