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Models of belief functions - Impacts for patterns recognitions (2010)
| Venue: | in Proceedings of International Conference on Information Fusion 2010 |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Doré10modelsof,
author = {P. -e. Doré and A. Fiche and A. Martin and Ei Ea Ensieta},
title = {Models of belief functions - Impacts for patterns recognitions},
booktitle = {in Proceedings of International Conference on Information Fusion 2010},
year = {2010}
}
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Abstract
Abstract – In a lot of operational situations, we have to deal with uncertain and inaccurate information. The theory of belief functions is a mathematical framework useful to handle this kind of imperfection. However, in most of the cases, uncertain data are modeled with a distribution of probability. We present in this paper different principles to induce belief functions from probabilities. Hence, we decide to use these functions in a pattern recognition problem. We discuss about the results we obtain according the way we generate the belief function. To illustrate our work, it will be applied to seabed characterization.
