---
title: "Combination and Propagation of Uncertainty with Belief Functions - A Reexamination"
authors:
  - "Didier Dubois"
  - "Henri Prade"
doi: ""
url: "https://ijcai.org/proceedings/1985/20"
pdf: "https://ijcai.org/proceedings/1985/0020.pdf"
venue: "Proceedings of the Ninth International Joint Conference on Artificial Intelligence"
year: 1985
pages: "111-112"
track: "Automated Reasoning"
keywords:
---

# Combination and Propagation of Uncertainty with Belief Functions - A Reexamination

Didier Dubois, Henri Prade

*Proceedings of the Ninth International Joint Conference on Artificial Intelligence*, pages 111-112.

## Abstract

The behavior of Dempster's rule of combination in typical situations is examined. Particularly, it is shown that assessing a zero value or a very small value may lead to very different results. Moreover a comparison with a possibility theory-based approach in case of conflicting information is provided. The general problem of representing uncertainty with one or several numbers IS addressed. Lastly, the propagation of uncertainty from a fact and "if. .. then •.• " rule is discussed in the framework of belief functions .