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Conference Papers Year : 2022

Real bird dataset with imprecise and uncertain values

Abstract

The theory of belief functions allows the fusion of imperfect data from different sources. Unfortunately, few real, imprecise and uncertain datasets exist to test approaches using belief functions. We have built real birds datasets thanks to the collection of numerous human contributions that we make available to the scientific community. The interest of our datasets is that they are made of human contributions, thus the information is therefore naturally uncertain and imprecise. These imperfections are given directly by the persons. This article presents the data and their collection through crowdsourcing and how to obtain belief functions from the data.
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hal-03850395 , version 1 (21-11-2022)

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Constance Thierry, Arthur Hoarau, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall. Real bird dataset with imprecise and uncertain values. 7th International Conference on Belief Functions, Oct 2022, Paris, France. ⟨hal-03850395⟩
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