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.
不确定推理是知识工程中的重要内容，基于模糊命题的真值推理具有广泛的应用。
This paper gives a detailed study of truth reasoning based on fuzzy proposition, strict statement of truth-value propagation in uncertainty reasoning, defined in , is shown.
考虑到动态联盟伙伴评价过程中的不确定性，引入了基于可信度的不确定推理方法。
A new method for partner appraisement in dynamic alliance based on certainty factor is introduced to consider the uncertainty of appraisement.
对复合三值规则的无损分解进行了详细探讨，最后提出了一个能进行不确定推理的新算法。
The lossless decomposition of compound T rules is explored in detail. A new algorithm dealing with uncertain reasoning Problems is Presented at last.
在一类不确定推理模型中，可以用这类弱t -范数的性质来解释其平行传播算法所具有的直观特征。
The properties of the weak Tnorm can be used to interpret intuition features of parallel propagation algorithm in the kind of uncertainty reasoning models.
给出了URS的语法及语义，证明了URS的合理性与完全性定理，并与其它不确定推理方法作了比较。
The syntactic and the semantics of URS are given and the Completeness and Soundness Theorem for URS is proved. The paper concludes with a comprehensive comparison of our proposal w...
本文利用不确定推理中的概率推理方法，设计了购买决策树回溯推理的模型和算法，有效解决了这一问题。
Using uncertain reasoning, a reasoning model and an algorithm are presented, which give the answer to this problem effectively.
该模板模型可作为现有模型的分析模板和新的基于产生式规则的不确定推理模型研究与构造的基本框架模板。
It can be used as a frame to analyze current uncertainty model or research and construct a new uncertainty reasoning model.
证据推理广泛应用于不确定推理和数据融合等许多方面，但D - S合成规则对于高冲突证据的处理不是十分合理的。
The evidence reasoning is used in many application fields, such as indefinite reasoning and data fusion. But, the Dempster's rule is unsuitable to solve the combination with high conflict.
简介ECSS的主要特点和工作原理，着重叙述了ECSS的实时推理和不确定推理方法，并以仿真实例说明ECSS 的应用。
The methods of real time reasoning and uncertain reasoning are also described. In the end, a simulation instance is analyzed to express the application of ECSS.
本文主要涉及的不确定推理模型包括主观贝叶斯的概率推理模型，可信度理论推理模型，证据理论及其改进推理模型以及神经网络推理模型。
In the paper, the models of uncertain reasoning are focused, such as the reasoning model of Bayes probability, Reliability theory, D-S evidence theory and Neural Network.
贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。
Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
本文主要探讨了基于模糊集合理论的不确定知识表示和近似推理方法。
The main issues addressed are uncertain knowledge representation and approximate reasoning based on fuzzy set theory.
采用正反向混合推理控制策略及确定性理论来处理知识的不确定性问题。
The uncertainty problem of knowledge is solved by using the forward-backward inference control strategy and the certainty theory.
以上的讨论为处理不确定性推理提供了适当的途径。
All above discussion is to provide suitable foundation and method for uncertain reasoning.
概率逻辑是用逻辑推理的方法解决因随机性引起的不确定性推理问题。
Probabilistic logic makes use of the method of logic reasoning to deal with the uncertain reasoning, which is cause by randomicity.
一个这类进步包括不确定下进行推理。
其思想和算法可推广应用到其它各种不确定性推理决策问题中去。
The idea and arithmetical method may be generalized to deal with a variety of problems for the uncertain reasoning decision-making.
证据推理理论是研究在不确定情况下智能决策的有效方法之一。
Evidential reasoning theory becomes one of the effective methods to study the intelligent decision in situation with uncertainty.
为此，人工智能需要研究不确定性推理方法，以满足客观问题的需求。
In order to cater to the demand of objective problems, the study of uncertain reasoning is needed in the artificial intelligence areas.
使得系统能够在不确定的环境中自动地进行学习和推理。
Systems can learn knowledge and perform reasoning under the uncertainty environment automatically.
考虑到电力负荷预测问题中存在的不确定性，采用模糊推理预测方法进行负荷预测的研究。
Because of the existence of the indefinite factors in power load forecasting, a new load forecasting model - the fuzzy inference forecasting is presented.
用大学生被试，通过三个实验探讨在集中呈现类别成员样本信息的归类不确定情景下的特征推理。
Three experiments with participants of college students were done to investigate feature reasoning in uncertain categorization in the concentrative presentation of samples of category members.
根据模糊推理估计集成不确定边界，利用双曲正切函数代替符号函数实现软切换连续控制。
The integration uncertain border value is estimated by fuzzy inference and the soft switch control is accomplished by tanh (x) function replacing SGN (x).
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.
因此，研究一种面向不确定性信息的表达、模型与推理机制才能较好地解决上述问题。
Therefore, the study an expression for the uncertainty information, models and reasoning mechanism in order to better address the issue.
推理诊断采用专家系统和不确定性推理的技术。
The diagnostic reasoning adopts the technique of expert system and reasoning under uncertainty.
因此，我们从不确定性推理的角度研究模式识别问题，从而揭示各种模式识别方法的统一的本质，就显得非常有意义。
So, we study the pattern recognition problems from the view of uncertainty reasoning and reveal the nature of various pattern recognition methods, which will be significant.
因此，我们从不确定性推理的角度研究模式识别问题，从而揭示各种模式识别方法的统一的本质，就显得非常有意义。
So, we study the pattern recognition problems from the view of uncertainty reasoning and reveal the nature of various pattern recognition methods, which will be significant.
应用推荐