阐述了基于D - S证据理论的多传感器信息融合算法，提供一种基于D - S理论的改进方法以解决融合信息的相关性问题。
A multisensor data fusion method based on Dempster-Shafer evidence theory is described, and an improved algorithm of D-S is put out to solve the dependent information in data fusion.
实验结果表明：本文的基于FBG的称重传感器的设计方法可行，适用于车辆的超限超载检测，具有广阔的应用前景。
Experimental results showed that the scheme of FBG weighing sensor is feasible. It has benefit on the detection of overloading vehicles and has a wide application prospects.
论文将基于神经网络算法补偿传感器测量误差的方法，应用到水利测量技术中。
The method which sensor error is compensated with the artifical neural network algorithms is applied to the hydraulic measurement technique.
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