ML Anthology

Consensus Rules

Carlos Alberto Berenstein, Laveen N. Kanal
UAI 1985 pp. 27-34
doi:10.1016/B978-0-444-70058-2.50007-3 /uai/1985/berenstein1985uai-consensus/

Abstract

The combination of expert opinions is a problem of broad interest and considerable difficulty. In this paper, we consider a formulation of the problem in which each expert estimates the probability of certain events, and the goal is to produce a single probability distribution which summarizes the various estimates. The study of such combination procedures is called consensus theory. This paper surveys general results on the inherent limitations of the consensus process. In addition, mathematical properties of several linear consensus rules are described.

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Cite

Text

Berenstein and Kanal. "Consensus Rules." Conference on Uncertainty in Artificial Intelligence, 1985. doi:10.1016/B978-0-444-70058-2.50007-3

Markdown

[Berenstein and Kanal. "Consensus Rules." Conference on Uncertainty in Artificial Intelligence, 1985.](https://mlanthology.org/uai/1985/berenstein1985uai-consensus/) doi:10.1016/B978-0-444-70058-2.50007-3

BibTeX

@inproceedings{berenstein1985uai-consensus,
  title     = {{Consensus Rules}},
  author    = {Berenstein, Carlos Alberto and Kanal, Laveen N.},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1985},
  pages     = {27-34},
  doi       = {10.1016/B978-0-444-70058-2.50007-3},
  url       = {https://mlanthology.org/uai/1985/berenstein1985uai-consensus/}
}