论文标题
具有不精确和不确定价值的真实鸟类数据集
Real bird dataset with imprecise and uncertain values
论文作者
论文摘要
信念函数的理论允许从不同来源融合不完美的数据。不幸的是，很少有实际，不精确和不确定的数据集使用信念功能来测试方法。由于收集了我们向科学界提供的众多人类贡献，我们已经建立了真实的鸟类数据集。我们数据集的兴趣是它们是由人类贡献制成的，因此信息自然是不确定和不精确的。这些不完美是由人直接给出的。本文通过众包介绍了数据及其收集，以及如何从数据中获得信念功能。
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.
