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cs.AI2021
An evidential classifier based on Dempster-Shafer theory and deep learning
Zheng Tong, Philippe Xu, Thierry Denœux
We propose a new classifier based on Dempster-Shafer (DS) theory and a convolutional neural network (CNN) architecture for set-valued classification. In this classifier, called the…
cs.AI2019
An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions
Thierry Denoeux, Prakash P. Shenoy
The main goal of this paper is to describe an axiomatic utility theory for Dempster-Shafer belief function lotteries. The axiomatic framework used is analogous to von Neumann-Morge…
cs.AI2018
Decision-Making with Belief Functions: a Review
Thierry Denoeux
Approaches to decision-making under uncertainty in the belief function framework are reviewed. Most methods are shown to blend criteria for decision under ignorance with the maximu…