The paper put forward an information detection method using fuzzy data fusion technology of multi-sensor.
文章提出了一种应用多传感器模糊数据融合技术的信息检测方法。
Based on fuzzy set theory, the multi-sensor data amalgamation adopted fuzzy set theory to deal with data.
基于模糊集理论的多传感器数据融合，应用模糊集理论处理数据。
The fuzzy variable recognition model of multi-sensor data fusion system is established, and then the model is applied to multi-sensor data fusion system for parts recognition.
建立了多传感器信息融合系统中的可变模糊识别模型，把可变模糊方法应用到多传感器信息融合工件识别中，并用一个具体的实例验证了该方法的合理性与可行性。
To deal with the uncertainty of multi-sensor observations, a new data association algorithm based on intuitionistic fuzzy clustering was proposed.
针对多传感器观测数据存在不确定性的问题，基于直觉模糊聚类，提出一种新的数据关联算法。
According to the requirements of multi-sensor data fusion in robot navigation, a novel, fuzzy similarity-based fusion algorithm is given and its theory and application in robot navigation is studied.
着眼于机器人导航中多传感器数据融合需求，提出了一种基于模糊贴近度的数据融合新算法，研究了它的原理及其在机器人导航中的应用过程。
According to the requirements of multi-sensor data fusion in robot navigation, a novel, fuzzy similarity-based fusion algorithm is given and its theory and application in robot navigation is studied.
着眼于机器人导航中多传感器数据融合需求，提出了一种基于模糊贴近度的数据融合新算法，研究了它的原理及其在机器人导航中的应用过程。
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