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Combining evidence under partial ignorance

  • Frans Voorbraak
Accepted Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1244)

Abstract

In this paper, we discuss the problem of combining several pieces of uncertain evidence, such as provided by symptoms, expert opinions, or sensor readings. Several of the proposed methods for combining evidence are reviewed and criticized. We argue for the position that (1) in general these proposed methods are inadequate, (2) strictly speaking, the only justifiable solution is to carefully model the situation, (3) a careful modelling of the situation requires a distinction between ignorance and uncertainty, and (4) drawing useful conclusions in the presence of ignorance may require additional assumptions which are not derivable from the available evidence.

Keywords

Probability Function Combination Scheme Belief State Belief Function Uncertain Evidence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Frans Voorbraak
    • 1
  1. 1.ILLC, Department of Mathematics and Computer ScienceUniversity of AmsterdamTV AmsterdamThe Netherlands

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