A Belief-Function Based Decision Support System
Abstract
In this paper, we present a decision support system based on belief functions and the pignistic transformation. The system is an integration of an evidential system for belief function propagation and a valuation-based system for Bayesian decision analysis. The two subsystems are connected through the pignistic transformation. The system takes as inputs the user's "gut feelings" about a situation and suggests what, if any, are to be tested and in what order, and it does so with a user friendly interface.
Cite
Text
Xu et al. "A Belief-Function Based Decision Support System." Conference on Uncertainty in Artificial Intelligence, 1993. doi:10.1016/B978-1-4832-1451-1.50070-6Markdown
[Xu et al. "A Belief-Function Based Decision Support System." Conference on Uncertainty in Artificial Intelligence, 1993.](https://mlanthology.org/uai/1993/xu1993uai-belief/) doi:10.1016/B978-1-4832-1451-1.50070-6BibTeX
@inproceedings{xu1993uai-belief,
title = {{A Belief-Function Based Decision Support System}},
author = {Xu, Hong and Hsia, Yen-Teh and Smets, Philippe},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1993},
pages = {535-542},
doi = {10.1016/B978-1-4832-1451-1.50070-6},
url = {https://mlanthology.org/uai/1993/xu1993uai-belief/}
}