给出不确定性推理算法。
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.
基于开世界假设，提出了一个通用的不确定性推理和决策框架。
Based on the assumption of open world, a general framework of reasoning and decision-making with uncertainty is given.
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.
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.
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.
本文用模糊拓扑和模糊数学的方法给出了一种基于拓扑变换的不确定性推理方法。
In the paper, an uncertain reasoning method based on topological transformation is constructed by means of fuzzy topology and fuzzy mathematics theory.
介绍主观贝叶斯方法数学理论，描述其在不确定性推理中的应用，给出两种求解方法。
This paper introduces the mathematics foundation of Subjective Bayes Method, describes application of reasoning under uncertainties and provides two ways to solve the uncertain question.
对于图像处理和模式识别研究人员来说，所遇到的问题都可以归结为不确定性推理的研究。
For these who research into image processing and pattern recognition, the problems under consideration can be seen as reasoning under uncertainty.
层次推理模型在保留AHP简单性的同时，加入了不确定性推理方法，从而提供了更为可靠的决策方案。
Hierarchy reasoning model inserts uncertainty reasoning method, while it reserves the simplicity of AHP. Thus it presents a more reliable decision scheme.
本文论述了模糊子集的云模型表示、基于云模型控制规则的不确定性推理，并设计了一种二维云模型控制器。
This paper presents the cloud model of fuzzy sets, uncertainty reasoning of control rules based on cloud model, and a two-dimension cloud model controller.
神经元网络启发式的并行、分布特征和可学习性为专家系统的知识表达和获取、不确定性推理提供了新的途径。
The parallelism, distribution and capability of learning of neural net heuristics provide a new way for knowledge acquisition, knowledge representation and uncertainty reasoning in expert systems.
把该理论用于不确定性推理、智能计算、群体智能分析，思路清晰，算法简明，所得结果能较好地符合客观实际。
This theory is used in uncertainty inference, intelligence computing, and colony intelligence analysis. The results accord closely with practice.
多决策协同推理方式采用确定性推理、不确定性推理等不同的推理方法以及定量计算方法，得到相应的推理结果。
The way of reasoning USES qualitative reasoning such as certainty, uncertainty reasoning and quantitative calculation methods, and then come out corresponding reasoning results.
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.
依据这种模型，本文设计了可拓不确定性推理机，并将其应用到UA 5000接入网设备故障诊断专家系统的设计中。
In terms of this model, a novel extension reasoning machine with uncertainty is designed. Based on this reasoning machine, a fault diagnosis expert system of UA5000 is realized.
本文以领域专家的理论知识和经验知识为基础，采用一加权不确定性推理方法，建立了一个心电诊断专家实验原型系统。
This paper develops an expert system for Electrocardiogram diagnosis. Its uncertainty reasoning with weight is based on the experience and specialty knowledge of experts.
在系统实现中，采用基于关系型数据库和C -F模型进行知识库的设计，用正反向混合推理控制策略进行不确定性推理。
In implementing of the system, database technique and C-F model are combined to design knowledge base. The uncertainty problem is solved by using the forward-backward inference control strategy.
该推理模型前级采用神经网络并行子网，用于目标的预分类，后级采用证据理论用于多周期的不确定性推理和概率的全局分配。
The forestage of the fusion model completes target presort and its post-stage is used to multi-period uncertainty inference and the whole set distribution of probability.
在推理过程中，为了更好地提高系统的实用性、可靠性和准确性，从农民用户使用角度着想并结合系统本身的特点采用了带有可信度因子加权的不确定性推理方法。
Considering the using for farmers, the characteristic of this system and it's reliability and accuracy, we adopted the uncertainty reasoning model which included certainty and weight factors.
采用围岩分类专家系统中的不确定性推理处理方法，以工程地质学家谷德振提出的岩体结构划分标准为基础，对金川二矿区岩（矿）体用模糊数学中择近原则的方法进行模糊综合判别。
Rock mechanics models have been established for different types of rock structure to offer a reliable mechanical basis for the analog analysis of host rock stability while mining in a broad area.
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.
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.
模糊集与模糊逻辑是处理大量存在的不确定性与模糊性信息的重要数学工具，在近似推理等领域有着广泛的应用。
Fuzzy sets and fuzzy logic are important mathematical tools for processing uncertain and vague information, which has been widely applied to approximate reasoning and so on.
一个机器人关于它的任务和环境常常只有不确定的信息，所以研究不确定性知识表达和推理很具有现实意义。
Because environments usually have uncertainty information, the research of uncertainty knowledge presentation and inference is very provided with practice.
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.
由于空间问题固有的复杂性和不确定性，空间关系的描述和推理普遍采用定性方法以符合人们的空间认知行为。
Because of the complexity and uncertainty inherent in spatial space, the description and reasoning of spatial relation often use qualitative method in accordance with spatial cognition.
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.
利用隶属度和模糊综合评判的概念和方法有效地处理了领域知识描述和诊断推理中的不确定性问题。
The concept and the method of membership and fuzzy comprehensive judgement are used to deal with the field knowledge description and the uncertain problem in diagnosing inference.
贝叶斯方法的特点是使用概率去表示所有形式的不确定性，学习或其他形式的推理都用概率规则来实现。
The characteristic of the Bayes method is to use probability to express the uncertainty of all forms, learning and the reasoning of other forms are all realized with the rule of probability.
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