Int{\'e}gration d'une mesure d'ind{\'e}pendance pour la fusion d'informations
Artificial Intelligence
2015-01-23 v1
Abstract
Many information sources are considered into data fusion in order to improve the decision in terms of uncertainty and imprecision. For each technique used for data fusion, the asumption on independance is usually made. We propose in this article an approach to take into acount an independance measure befor to make the combination of information in the context of the theory of belief functions.
Keywords
Cite
@article{arxiv.1501.05614,
title = {Int{\'e}gration d'une mesure d'ind{\'e}pendance pour la fusion d'informations},
author = {Mouloud Kharoune and Arnaud Martin},
journal= {arXiv preprint arXiv:1501.05614},
year = {2015}
}
Comments
in French, appears in Atelier Fouille de donn{\'e}es complexes, Extraction et Gestion des Connaissances (EGC), Jan 2013, Toulouse, France. arXiv admin note: substantial text overlap with arXiv:1501.04786