Information fusion with topological event spaces

R. Ilin, Jun Zhang
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Abstract

We develop a novel information fusion scheme based on topological event space, viewed as a distributive lattice. We discuss the advantages of topological modeling and compare our approach to the existing Bayesian, Dempster-Shafer, and Dezert-Smarandache approaches. The proposed scheme is described in detail and illustrated with an example of fusion of three sensors in the presence of missing information.
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拓扑事件空间的信息融合
我们提出了一种新的基于拓扑事件空间的信息融合方案,将其视为一个分布格。我们讨论了拓扑建模的优点,并将我们的方法与现有的贝叶斯方法、Dempster-Shafer方法和Dezert-Smarandache方法进行了比较。本文对该方法进行了详细的描述,并以存在缺失信息的三传感器融合为例进行了说明。
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