The diagnosis results of fuzzy methods are fused based on D-S evidence theory.
运用D S证据理论将用不同模糊方法得出的诊断结果进行融合。
Both rough set theory and evidence theory are the math tools for dealing with uncertain knowledge.
粗糙集理论与证据理论都是处理不确定性知识的数学工具。
The imprecise and fuzzy information can be well described and processed with fuzzy evidence theory.
模糊证据理论可以很好地表示和处理不精确的和模糊的信息。
In this article, the D-S evidence theory is used to judge the reliability of scientific hypothesis.
本文将D - S证据理论应用于判断科学假说的可靠性。
Some desirably basic features concerned with the combination rules of evidence theory were discussed.
讨论了证据理论合成规则期望满足的基本性质。
Evidence modeling has become a bottleneck problem of restricting the application of D-S evidence theory currently.
证据建模已经成为当前制约d—s证据理论广泛应用的一个瓶颈问题。
Then, the modelling and pooling of different type expert opinions are studied in the framework of evidence theory.
其次，基于证据理论和凸函数证据理论对专家意见综合、模糊信息融合等问题进行了深入研究。
Through information fusion of the evidence theory module, false positives are decreased and the detection rate is improved.
通过证据理论模块的信息融合，降低了虚警率，提高了检测率。
Then D-S evidence theory is demonstrated, which gives an improvement in fusing the recognition results of separate features.
利用D - S证据推理理论对单个特征的识别结果进行融合，有效改进了识别效果。
Lastly, the fuzzy evidence theory is extended, and then it is applied to the qualitative reliability assessment successfully.
最后，对模糊证据理论进行了推广，并将其成功应用于产品的定性可靠性评估。
Fault diagnosis of electronic equipment based on evidence theory, the trust function is adopted as uncertainty measurement tool.
基于证据理论的电子装备故障诊断，采用信任函数作为不确定性度量工具。
This paper detailedly introduces D-S evidence theory, and discusses the application of D-S evidence theory in vehicles identify.
论文详细地介绍了D -S证据理论，并探讨了D - S证据理论在车辆身份识别系统中的运用。
Testimony standard and burden of proof of administrative litigation form the core of the evidence theory of administrative litigation.
行政诉讼证明标准同行政诉讼举证责任一道，构成行政诉讼证据理论的核心。
The spatial information of the image and evidence theory is applied to classification of remote sensing image based on neural networks.
把影像的空间信息融入分类决策，提出了一种基于证据理论与神经网络的遥感影像分类方法。
It fuses single fault degree by D-S evidence theory and calculates continuous fault degree. The line of maximum degree is the fault line.
应用d - S证据理论对单次故障度进行有效融合，计算出连续故障度，连续故障度最大的线路就是故障线路。
Thirdly, the data fusion method based on evidence theory is adopted to realize multi-source information fusion and object identification.
最后采用基于证据理论的数据融合方法实现多源信息融合目标识别。
Because of the shortage of D-S evidence theory, offered a improved method of the optimization method of evidence and combinatory formula.
针对d - S证据理论的组合公式存在的不足，提出了对证据的优化方法和证据理论组合公式的改进方法。
D-S evidence Theory can integrate all kinds of information coming from every expert. It made the evaluation results much more reasonable.
证据理论综合了来自各个专家的评价信息，能够使得评价过程更加合理。
This paper proposes, for the first time, a new issue called utility paradox which can not be solved effectively by the existing methods in evidence theory.
提出了一类在已有证据理论方法中尚未得到有效解决的效用悖论问题，然后给出了一种证据理论的效用分析方法。
The decision fusion level module USES D-S evidence theory to fuse the local diagnostic results of feature fusion level, then get the final diagnostic results.
决策级采用D - S证据理论的方法对特征级局部诊断的结果加以融合，得到最终的诊断结果。
Then we extend the evidence theory to suit the application of comprehensive diagnoses to multiple faults , and analyze the strategy and algorithm of realization .
然后推广了证据理论在多重故障综合诊断中的应用，并就综合诊断的实现策略和算法进行了研究。
Rough Set Theory is another mathematical tool used for dealing with fuzzy and uncertain knowledge besides Probability Theory, fuzzy Set Theory and Evidence Theory.
粗集理论是继概率论、模糊集、证据理论之后的又一种处理模糊和不确定性知识的数学工具。
Aim at the problem of detecting for distant small target with very low SNR, a method of two color IR small target fusion detection using D-S evidence theory is proposed.
针对远距离低信噪比条件下目标检测难的实际问题，提出采用D - S证据理论的双色红外小目标融合检测方法。
Based on D-S evidence theory in data fusion technology, this paper applies it to distributed intrusion detection systems and gives a network intrusion early warning model.
本文以数据融合技术中的D -S证据理论为基础，将其运用于分布式入侵检测系统中，提出了基于D - S证据理论的网络入侵预警模型。
Aiming at the complexity and fuzziness of modern radar signals and the redundancy characteristic of the signals on time, fuzzy matching is combined with D-S evidence theory.
针对现代雷达信号的复杂性和模糊性以及信号在时间上的冗余性等特点，将模糊匹配和D - S证据理论相结合。
We use a parallel and with feedback fusion system architecture, cascade D-S evidence theory to be fusion algorithm. Finally, a graphic target recognition system is realized.
系统采用有反馈的全并行融合系统结构，以分级式d S证据推理为数据融合算法，最终实现一个图形化的目标识别系统。
The conflict factor of D-S evidence theory is applied to constructing an adaptive ultrasonic sensor model for the navigation of mobile robots in narrow unknown environments.
针对移动机器人在未知狭窄环境中的导航问题，利用证据理论中的矛盾因子，给出了一个自适应超声波传感器模型。
D-S evidence theory is applied in the multi-sensor data fusion, the generalized method of the data fusion is proposed and applied in the fault diagnosis of the hydraulic pump.
将D - S证据理论应用于多传感器数据融合，提出了多传感器数据融合一般化方法，并将其应用于液压泵故障诊断。
Recently, it has been a vital studying direction that connecting rough set theory with evidence theory to research the knowledge discovery problem of random information systems.
近年来，将粗糙集理论与证据理论相结合，研究随机信息系统的知识发现问题，成为一个有活力的研究方向。
Recently, it has been a vital studying direction that connecting rough set theory with evidence theory to research the knowledge discovery problem of random information systems.
近年来，将粗糙集理论与证据理论相结合，研究随机信息系统的知识发现问题，成为一个有活力的研究方向。
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