Multi-parameter models: rules and computational methods for combining uncertainties

  • Thomas Fetz


This paper is devoted to the construction of sets of joint probability measures for the case that the marginal sets of probability measures are generated by random sets. Different conditions on the choice of the weights of the joint focal sets and on the probability measures on these sets lead to different types of independence such as strong independence, random set independence, fuzzy set independence and unknown interaction. As an application the upper probabilities of failure of a beam bedded on two springs are computed.


Probability Measure Fuzzy Number Dirac Measure Evidence Theory Possibility Measure 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Thomas Fetz
    • 1
  1. 1.Institut für Technische Mathematik, Geometrie und BauinformatikUniversität InnsbruckAustria

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