Conservative, Proportional and Optimistic Contextual Discounting in the Belief Functions Theory
Artificial Intelligence
2013-12-20 v1
Abstract
Information discounting plays an important role in the theory of belief functions and, generally, in information fusion. Nevertheless, neither classical uniform discounting nor contextual cannot model certain use cases, notably temporal discounting. In this article, new contextual discounting schemes, conservative, proportional and optimistic, are proposed. Some properties of these discounting operations are examined. Classical discounting is shown to be a special case of these schemes. Two motivating cases are discussed: modelling of source reliability and application to temporal discounting.
Keywords
Cite
@article{arxiv.1312.5515,
title = {Conservative, Proportional and Optimistic Contextual Discounting in the Belief Functions Theory},
author = {Marek Kurdej and Véronique Cherfaoui},
journal= {arXiv preprint arXiv:1312.5515},
year = {2013}
}
Comments
7 pages