该模型能够通过融合推理得到态势假设和事件之间的潜在关系 ，为决策提供依据。
The model can find the potential relation between situation hypothesis and events, thus supporting the decision making.
通过语义分析和语义推理，可以充分利用信息资源之间的关系实现相关信息资源检索与语义融合。
By semantic analysis and semantic inference, the relationship among resource could be fully used to implement the relevant information resource retrieval and semantic fusion.
讨论了系统结构、知识表示、推理机、温度数据融合算法和智能控制方法。
The paper discusses the system architecture, knowledge representation, inference mechanism, method of data fusion and intelligent control mechanism.
基于涌现原理，提出了三种模式分类模型：模型推理、特征融合和模式联想。
Bring up three pattern classifying models: pattern reasoning, character fusions and pattern associated based on the principle of emerge.
针对双色红外成像制导系统中多传感器目标跟踪的实际问题，提出了一种基于模糊推理自适应加权融合的目标跟踪算法。
Aim at the problem of multi-sensors target tracking in the dual band IR imaging system, a method of target tracking is presented using adaptive weighting fusion based on fuzzy inference.
为了更好地进行水轮机调速器的故障诊断，利用D - S证据推理对不同的神经网络技术得出的结果进行数据融合。
In order to better estimate the fault diagnosis of the hydraulic turbine governing system, the D-S evidential reasoning is used for data fusion with the result of different neural networks.
最后根据不确定推理与决策理论对不同空域和时域的数据进行融合。
Uncertain reasoning and decision-making is used to fuse the data in the different space and time fields.
该模型将评估过程视为模糊推理过程，并以此构建融合中心的结构模型。
In this model, the process of assessment is viewed as that of the fuzzy reasoning, and the structure model of fusion center is constructed.
针对电力电子电路中器件的参数故障诊断问题，提出一种基于模糊推理的分类器融合诊断方法。
Aiming at the parametric faults diagnosis of the power electronic circuits, a method based on classifiers fusion was proposed to diagnose the circuit by using the fuzzy inference process.
在此基础上，提出了一种多源信息的实时智能融合系统，并对该系统中的知识库和推理机进行了详细的论述。
On the basis of it, a real-time intelligent fusion system of multi-source information is proposed, and the operating principles of knowledge base and reasoning machine in this system are discussed.
目的：介绍条件推理领域心理模型理论与概率理论以及它们之间的争论与融合。
OBJECTIVE: To introduce the mental model theory and probabilistic theory with their disputation and tradeoff in conditional inference domain.
对不能识别的样本，采用模糊推理技术，把传统的直观特征识别结果和多层BP网络结果在特征级上融合，提高系统的性能。
As to the samples that have not been able to be recognized we adopt fuzzy logic to fusion obvious feature and MBPNN's feature, and increase the performance of the system.
状态监测任务由基于多网络协同推理的方法完成，采用特征融合和时空判决融合技术提高推理效率。
The technique which combine the feature compression, time-space decision fusion and multiple network cooperative inference, is used to improve the inference efficiency in the monitoring.
并将模糊综合评判与产生式规则融合，利用复合的推理机制提高预测结果的准确性。
The hybrid inference mechanism included dynamic fuzzy comprehensive evaluation and production rules obviously improves the veracity of the forecast results.
并将模糊综合评判与产生式规则融合，利用复合推理机制提高预测结果的准确性。
The hybrid inference mechanism included dynamic fuzzy evaluation and production rules obviously improve the veracity of the forecast results.
排序方法模糊推理系统(FIS)特征融合的目的是为了提高虹膜识别的鲁棒性。
A sorting method with Fuzzy Inference System (FIS) feature fusion is designed to improve the robustness of iris recognition.
本文基于鲁棒神经网和混合模糊推理新概念，提出了融合的并行拓扑结构。
This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.
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。
Then D-S evidence theory is demonstrated, which gives an improvement in fusing the recognition results of separate features.
之后利用融合了极大代数运算的不确定性并行推理算法，确保较准确地推断出结果。
Then, by using uncertainty-reasoning algorithm, which adopts max-algebra method, result can be calculated with comparative accurate.
模糊推理和神经网络在信息融合领域的应用各有所长。
When applied to information fusion, neural networks and fuzzy inference have their own advantages and disadvantages.
证据理论在不确定性问题中有很强的推理能力，而且合成法则对数据的融合处理提供理论依据。
The theory of evidence, called D-S theory, has great reasoning capacity in the questionably problems, and the dempster rule can provide theoretical foundation for the synergetic disposal of data.
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。
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.
研究了模糊推理算法，以加权模糊推理进行多种信息的融合，解决了故障诊断中不确定性问题的求解。
Fuzzy reasoning method was studied and amalgamation of kinds of information was done by fuzzy reasoning of weight.
研究了一种综合应用神经网络的分类功能和D S推理融合诊断的故障决策新方法。
A new method of synthetic application of neural network technique sorting function and Dempster-Shafer theory (D-S) fusion diagnosis of faults decision-making is researched.
基本行为由模糊推理系统设计，较高级的复杂行为由基本行为的融合产生。
The elementary behaviors were achieved by fuzzy reasoning scheme, and highlevel behaviors were composed of these primitive behaviors.
针对目标综合识别过程中的复杂性和不确定性特点，利用贝叶斯网络融合模型对融合识别过程进行概率建模及推理。
For dealing with the complexity and uncertainty in the target identification fusion, the fusion model of Bayesian Networks is used.
在空间方向上借助概率模糊认知图的表达、推理能力，对来自多个检测器的报警进行融合。
In this model, repetitive alerts are compressed in temporal space based on some rules and alerts from several detectors are fused in spatial space based on PFCM.
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。
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。
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.
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