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首页> 外文会议>Fifth International Conference on Electronic Measurement amp; Instruments (ICEMI'2001) Vol.1 Nov 18-21, 2001 Guilin, China >Quantity Creditability Tactics in Sensor Data Fusion and Its Inherent Relationships to Probability Criterion
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Quantity Creditability Tactics in Sensor Data Fusion and Its Inherent Relationships to Probability Criterion

机译：传感器数据融合中的数量可信度策略及其与概率标准的内在联系

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摘要

For the same purpose of high-level information fusion, this paper proposes a multi-layer fusion method, which might be entitled as Quantity Creditability Tactics. It actually intends to simplify the fuzzy algorithm, with the relationships among the fusion factors being monitored by control operators instead of fuzzy rules. The multi-layer framework of the algorithm ensures its calculation of many merits, such as recursive or periodical fusion, highlighting some particular quantities, etc. Compared with Probability Criterion, the new method employs the calculation with matrix conversions, thus is more convenient for computer to program. More ever, the research attempts to setup the inherent relationships between the two methods in order to make clearer comments on their properties in terms of efficiency, limitations and notations. Modificatory considerations on fusion mechanism are also proposed.
机译：出于高级信息融合的相同目的，本文提出了一种多层融合方法，可以称为数量信用策略。实际上，它旨在简化模糊算法，融合因子之间的关系由控制操作员而不是模糊规则进行监控。该算法的多层框架确保了其许多优点的计算，例如递归或周期性融合，突出显示某些特定数量等。与概率准则相比，该新方法采用了具有矩阵转换的计算，因此更便于计算机使用进行编程。越来越多的研究试图建立两种方法之间的内在联系，以便就效率，局限性和符号等方面对它们的属性做出更清晰的评论。还提出了对融合机制的修正性考虑。

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