Uncertainty reasoning algorithm is presented.
给出不确定性推理算法。
DS evidence theory is an important method in uncertainty reasoning.
证据理论是一种重要的不确定性推理方法。
It can be used as a frame to analyze current uncertainty model or research and construct a new uncertainty reasoning model.
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。
Hierarchy reasoning model inserts uncertainty reasoning method, while it reserves the simplicity of AHP. Thus it presents a more reliable decision scheme.
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。
The properties of the weak Tnorm can be used to interpret intuition features of parallel propagation algorithm in the kind of uncertainty reasoning models.
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。
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.
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 develops an expert system for Electrocardiogram diagnosis. Its uncertainty reasoning with weight is based on the experience and specialty knowledge of experts.
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 gives a detailed study of truth reasoning based on fuzzy proposition, strict statement of truth-value propagation in uncertainty reasoning, defined in , is shown.
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。
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。
The way of reasoning USES qualitative reasoning such as certainty, uncertainty reasoning and quantitative calculation methods, and then come out corresponding reasoning results.
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。
There are more uncertainties in the radar intelligence reception, so there are more uncertainties in the recognition of the radar radiation and the uncertainty reasoning is used in the paper.
由于在雷达情报侦察中存在着很大的不确定性，因此在雷达辐射源的识别当中也存在着很大的不确定性，为此，本文选用不精确推理方式。
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.
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。
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.
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。
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.
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。
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.
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。
Based on the assumption of open world, a general framework of reasoning and decision-making with uncertainty is given.
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。
Finally, the fuzzy techniques are applied in reasoning algorithms of topological relations of spatial objects in order to solve fuzziness and uncertainty in the GIS easily.
最后，将模糊技术与空间对象之间的拓扑关系的推理算法结合起来，使其可以方便地处理地理信息系统中的模糊性和不确定性。
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.
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。
Probability theory is the only reasonable way to represent uncertainty, it is useful for machine learning or reasoning under uncertainty.
概率论是表示不确定性的唯一合理的方法，概率论对于机器学习或不确定情况下的推理是有用的。
For these who research into image processing and pattern recognition, the problems under consideration can be seen as reasoning under uncertainty.
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。
The diagnostic reasoning adopts the technique of expert system and reasoning under uncertainty.
推理诊断采用专家系统和不确定性推理的技术。
Due to complexity and uncertainty of condenser fault diagnosis, a new method for fault diagnosis of condenser vacuum based on fuzzy rough set and case-based reasoning was presented.
针对凝汽器真空故障诊断的不确定性和复杂性，提出一种基于模糊粗糙集和事例推理的凝汽器故障诊断新方法。
One such advance involved reasoning under uncertainty.
一个这类进步包括不确定下进行推理。
There existed disjunctive effect on the college students in the process of disjunctive reasoning under uncertainty.
大学生被试在不确定情景下的决策出现了析取效应。
Evidential reasoning theory becomes one of the effective methods to study the intelligent decision in situation with uncertainty.
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。
Therefore, the study an expression for the uncertainty information, models and reasoning mechanism in order to better address the issue.
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。
Systems can learn knowledge and perform reasoning under the uncertainty environment automatically.
使得系统能够在不确定的环境中自动地进行学习和推理。
Traditional retrieval models of the case-based reasoning system lack of the adaptation to the imprecise information in uncertainty environment.
传统实例检索模型缺乏对不确定环境中不精确信息的适应性。
This paper discusses fuzzy measures adopted to deal with uncertainty and analyzes relationships among classes of fuzzy measures, which very much helps understand and select an inexact reasoning model.
本文讨论了在知识工程中用来处理不确定性的各种模糊度量方法，并分析了它们之间的关系。这对于理解以及如何选用一个合适的不精确推理模型是十分有益的。
This paper discusses fuzzy measures adopted to deal with uncertainty and analyzes relationships among classes of fuzzy measures, which very much helps understand and select an inexact reasoning model.
本文讨论了在知识工程中用来处理不确定性的各种模糊度量方法，并分析了它们之间的关系。这对于理解以及如何选用一个合适的不精确推理模型是十分有益的。
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