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。
The paper was concerned with the design of a fuzzy data fusion approach based on robust guaranteed cost filtering for uncertainties.
结合研究存在不确定因素的信息融合问题，提出了一种基于鲁棒保性能滤波的模糊信息融合方法。
This paper made use of statistical results of vulnerability scanner and intrusion detection systems and presented method of qualitative evaluation of security vulnerability based on fuzzy data fusion.
利用漏洞扫描器及入侵检测系统的统计结果两方面信息 ，提出了应用模糊信息融合对安全漏洞进行定性评估的方法 。
It reduces the input dimension of the controller using data fusion technique and simplifies the fuzzy controller's design.
该方法利用数据融合技术降低了模糊控制器的输入维数，简化了模糊控制器的设计。
A new algorithm of employing the fuzzy neural network is proposed to realize speech data fusion for speech recognition under high noisy condition.
针对高噪音环境中的语音识别问题，提出一种利用模糊神经网络进行语音数据融合的新算法。
This paper presents an adaptive data fusion method which uses a fuzzy logic controller to online adjust the Kalman filter, and focuses on its application to the integrated GPS/INS navigation.
提出了一种利用模糊逻辑控制器来在线调节卡尔曼滤波器的自适应数据融合方法，并着重研究了其在GPS/INS组合导航中的应用。
Considering the radiation problem of filtering resulting from the inaccurate model of the Kalman filter, data fusion algorithm based on the fuzzy Kalman filter is advanced.
并针对卡尔曼滤波因模型不准确而导致的滤波发散问题，提出了模糊卡尔曼的数据融合算法。
One kind of integrated data mining and data fusion system's model is designed with fuzzy neural network based on rough sets.
设计了一种基于粗糙集——模糊神经网络技术的数据挖掘与数据融合集成系统。
A fuzzy counter propagation neural network (FCPN) based data fusion approach and a modified fuzzy counter propagation neural network (MFCPN) fusion architecture are proposed for target recognition.
针对数据融合和目标识别的特点，提出了基于模糊对向传播网络的融合目标识别方法和改进的模糊对向传播网络(MFCPN)融合结构。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
The judgement to fire mainly adopts data fusion of fuzzy reasoning data fusion. Fire data and realization of data fusion are executed by controller.
对火灾的判断主要采用模糊推理的数据融合算法，火灾数据的处理和算法的实现都由控制器来完成。
A fuzzy theory based adaptive data fusion algorithm is used.
采用一种利用模糊理论的自适应数据融合算法。
Focused on fault diagnosis, a grey fusion method and a fuzzy fusion method are proposed based on data fusion and criteria fusion. Then the parallel decision fusion model is presented.
针对故障诊断过程，在数据融合与规则融合基础上，提出了灰色融合和模糊融合两种信息融合方法，并给出了并行决策融合模型。
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。
A new kind of fiber flame detector is introduced. The components and characteristics of this system are expounded. The multi-signal process based on data fusion of fuzzy reasoning is given out.
介绍一种新型光纤燃煤炉火焰检测器，阐述其系统组成及特点。并提出了基于模糊推理的多信号融合处理方法。
Emphasis was on a fuzzy set data fusion algorithm which could be used for multi-frequency eddy current signal processing.
最后给出用该方法对硬化层深多频涡流检测信息融合的结果。
A conceptual model to solve those problems by means of fuzzy logic technique, data fusion technique etc. is presented in this paper.
提出了采用模糊技术与数据合成技术等相结合来解决上述问题的概念模型。
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。
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。
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