How to elicit many probabilities

  • Authors:
  • L. C. van der Gaag;S. Renooij;C. L. M. Witteman;B. M. P. Aleman;B. G. Taal

  • Affiliations:
  • Department of Computer Science, Utrecht University, Utrecht, The Netherlands;Department of Computer Science, Utrecht University, Utrecht, The Netherlands;Psychological Laboratory, Utrecht University, Utrecht, The Netherlands;The Netherlands Cancer Institute, Antoni van Leeuwenhoekhuis, Amsterdam, The Netherlands;The Netherlands Cancer Institute, Antoni van Leeuwenhoekhuis, Amsterdam, The Netherlands

  • Venue:
  • UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
  • Year:
  • 1999

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Abstract

In building Bayesian belief networks, the elicitation of all probabilities required can be a major obstacle. We learned the extent of this often-cited observation in the construction of the probabilistic part of a complex influence diagram in the field of cancer treatment. Based upon our negative experiences with existing methods, we designed a new method for probability elicitation from domain experts. The method combines various ideas, among which are the ideas of transcribing probabilities and of using a scale with both numerical and verbal anchors for marking assessments. In the construction of the probabilistic part of our influence diagram, the method proved to allow for the elicitation of many probabilities in little time.