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2015 18th International Conference on Information Fusion (Fusion)最新文献

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A real Z-box experiment for testing Zadeh's example 用于测试Zadeh示例的真实z盒实验
Pub Date : 2015-07-06 DOI: 10.5281/ZENODO.32203
J. Dezert, A. Tchamova, Deqiang Han
In this paper, we propose a real experiment for building and realizing the physical combination of basic belief assignments associated with two independent, informative, and equireliable sources of information, according to the famous Zadeh's example. This experiment is based on a particular electronic circuit box, called Z-box, enabling to observe and to check the fusion result experimentally. Our experimental results clearly invalidate the fusion result obtained by Dempster-Shafer's rule of combination and show that it is physically possible to consider in a natural fusion process two independent and equi-reliable sources of evidences at same time, even if they appear as highly conflicting in Shafer's sense.
本文根据著名的Zadeh的例子,提出了一个真实的实验来构建和实现两个独立的、信息丰富的、公平的信息来源相关联的基本信念赋值的物理组合。这个实验是基于一个特殊的电子电路箱,称为Z-box,可以观察和实验检查聚变结果。我们的实验结果清楚地否定了Dempster-Shafer组合规则得到的融合结果,并表明在物理上可以在自然融合过程中同时考虑两个独立的、同等可靠的证据来源,即使它们在Shafer的意义上看起来是高度冲突的。
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引用次数: 4
Levels? 水平?
Pub Date : 1900-01-01 DOI: 10.1201/9781315153346-3
A. Steinberg, L. Snidaro
This paper challenges the familiar hierarchical partitioning of data fusion problems into "levels". The JDL data fusion model and its variants are seen as a method to partition a problem space in a way that tends to support different types of solutions. The layered view of fusion presented in these models is a rough engineering-based representation of a domain that has been addressed in analytically- and empirically-based models developed over centuries by philosophers and cognitive scientists. These ontological and cognitive models involve distinctions that are not all necessarily hierarchical or sequential. A hierarchical partitioning - while often convenient in characterizing fusion problems - should not be an impediment to fusion solutions that span the levels. A more flexible and comprehensive partitioning scheme is suggested.
本文挑战了将数据融合问题分层划分为“层次”的做法。JDL数据融合模型及其变体被视为一种划分问题空间的方法,这种方法倾向于支持不同类型的解决方案。这些模型中呈现的融合分层视图是对一个领域的粗略的基于工程的表示,这个领域已经在哲学家和认知科学家几个世纪以来开发的基于分析和经验的模型中得到了解决。这些本体论和认知模型涉及的区别不一定都是等级或顺序的。分层划分——虽然通常在描述融合问题时很方便——不应该成为跨越层次的融合解决方案的障碍。提出了一种更灵活、更全面的分区方案。
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引用次数: 0
期刊
2015 18th International Conference on Information Fusion (Fusion)
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