ML Anthology

Conditional Independence in Possibility Theory

Pascale Fonck
UAI 1994 pp. 221-226
doi:10.1016/B978-1-55860-332-5.50033-X /uai/1994/fonck1994uai-conditional/

Abstract

Possibilistic conditional independence is investigated: we propose a definition of this notion similar to the one used in probability theory. The links between independence and non-interactivity are investigated, and properties of these relations are given. The influence of the conjunction used to define a conditional measure of possibility is also highlighted: we examine three types of conjunctions: Lukasiewicz - like T-norms, product-like T-norms and the minimum operator.

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Text

Fonck. "Conditional Independence in Possibility Theory." Conference on Uncertainty in Artificial Intelligence, 1994. doi:10.1016/B978-1-55860-332-5.50033-X

Markdown

[Fonck. "Conditional Independence in Possibility Theory." Conference on Uncertainty in Artificial Intelligence, 1994.](https://mlanthology.org/uai/1994/fonck1994uai-conditional/) doi:10.1016/B978-1-55860-332-5.50033-X

BibTeX

@inproceedings{fonck1994uai-conditional,
  title     = {{Conditional Independence in Possibility Theory}},
  author    = {Fonck, Pascale},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1994},
  pages     = {221-226},
  doi       = {10.1016/B978-1-55860-332-5.50033-X},
  url       = {https://mlanthology.org/uai/1994/fonck1994uai-conditional/}
}