Propagation of Preference Relations in Qualitative Inference Networks
Abstract
Preference relations can provide a more realistic model of random phenomena than quantitative probability or belief functions. In order to use preference relations for reasoning under uncertainty, it is necessary to perform sequential and parallel combinations of propagated information in a qualitative inference network. This paper discusses the rules for such sequential and parallel combinations. 1
Cite
Text
Wong et al. "Propagation of Preference Relations in Qualitative Inference Networks." International Joint Conference on Artificial Intelligence, 1991.Markdown
[Wong et al. "Propagation of Preference Relations in Qualitative Inference Networks." International Joint Conference on Artificial Intelligence, 1991.](https://mlanthology.org/ijcai/1991/wong1991ijcai-propagation/)BibTeX
@inproceedings{wong1991ijcai-propagation,
title = {{Propagation of Preference Relations in Qualitative Inference Networks}},
author = {Wong, S. K. Michael and Lingras, Pawan and Yao, Yiyu},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1991},
pages = {1204-1209},
url = {https://mlanthology.org/ijcai/1991/wong1991ijcai-propagation/}
}