DSmT在基于本体融合系统中的应用

K. Krenc, A. Kawalec
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引用次数: 4

摘要

本文的目的是针对特定任务,如目标的威胁识别,提出一种基于传感器网络需求的预选传感器本体框架。这个问题将在方法上得到解决,特别是考虑到函数的非确定性性质,分别将概念和关系集分配到概念和关系词典集中,反之亦然。这可以有效地提高传感器网络中信息融合的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An application of DSmT in ontology-based fusion systems
The aim of this paper is to propose an ontology framework for preselected sensors due to the sensor networks' needs, regarding a specific task, such as the target's threat recognition. The problem will be solved methodologically, taking into account particularly non-deterministic nature of functions assigning the concept and the relation sets into the concept and relation lexicon sets respectively and vice-versa. This may effectively enhance the efficiency of the information fusion performed in sensor networks.
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