A Belief-Function Based Decision Support System
Artificial Intelligence
2013-03-08 v1
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.
Keywords
Cite
@article{arxiv.1303.1519,
title = {A Belief-Function Based Decision Support System},
author = {Hong Xu and Yen-Teh Hsia and Philippe Smets},
journal= {arXiv preprint arXiv:1303.1519},
year = {2013}
}
Comments
Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993)