阐述了结构工程中人误概率的不确定性是一非概率性的模糊物理量的概念。
The paper expounded the concept that human error probability is uncertain and fuzzy in structural engineering and dealed with a possibility distribution function for human error probability.
针对决策者在进行方案选择时各种自然状态发生概率的不确定性，提出并讨论了离散型模糊状态概率下的方案选择问题。
Considering the uncertainty of the probabilities of events in the selection of alternatives, the alternative selection problem with fuzzy state probability is proposed and investigated.
我也赞同里索对客观概率论的批评，有人企图用它来减少现实世界的不确定性，使其趋近于确定的世界。
I would also endorse Rizzo's critique of attempts to use objective probability theory as a way of reducing the real world of uncertainty to certainty equivalents.
研究人工智能的基础工具在80年代后期从逻辑转向了概率，而关于不确定性的理论研究的进展成为了近期许多应用的基础。
The fundamental tools of A.I. shifted from Logic to Probability in the late 1980s, and fundamental progress in the theory of uncertain reasoning underlies many of the recent practical advances.
研究人工智能的基础工具在80年代后期从逻辑转向了概率，而关于不确定性的理论研究的进展成为了近期许多应用的基础。
The fundamental tools of A. I. shifted from Logic to Probability in the late 1980s, and fundamental progress in the theory of uncertain reasoning underlies many of the recent practical advances.
这些不确定性信息或是随机性的、或是模糊性的、或是复合不确定性，可分别用概率熵、模糊熵和混合熵来度量。
The uncertain information may be probable, or fuzzy, or have compound uncertainty, and can be measured respectively with probability entropy, fuzzy entropy and hybrid entropy.
粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
工程中的不确定性问题目前可以通过概率方法、模糊方法和区间方法来解决。
The uncertain problems in engineering can be solved by using probabilistic, fuzzy or interval method.
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.
介绍了表征不确定性的概率密度函数和累计密度函数曲线。
To token both curve of uncertainty is recommend which Probability Density Function and Cumulative Density Function.
该方法用模糊概念描述异常，用数值运算代替模式匹配，并利用概率测度有效表示各因素间关系的不确定性。
It described anomaly as fuzzy conception, executed numerical operations instead of pattern matching, and expresses the uncertainty of relations of the factors by applying probability measure.
基于概率鲁棒方法，针对具有实参数不确定性的多输入多输出被控对象，提出一种分散PID控制器设计方法。
A tuning method for decentralized PID controllers was developed based on probabilistic robustness for use in multi-input-multi-output plants with varying parameters.
最后列举了不确定性分析的方法，即蒙特卡罗法、泰勒简化法、概率树法和专家判断法。
At last, some methods of uncertainty analysis are listed, such as Monte Carlo method, Taylor method, probability trees and expert judgement method.
工程中的不确定性问题可以用区间分析、概率理论或模糊理论来求解。
The uncertain problems in engineering can be solved by using the interval, probabilistic or fuzzy theories.
进行了完工概率分析，较好地描述了施工进度计划的不确定性，为施工工期论证分析提供了依据。
The project completion probability is discussed, which fully describes the uncertainty of construction sequence schedule and provides basis for analysis of time limit.
综合应用概率论和可信性理论对随机和可认知混合不确定性参数进行建模，提出了基于概率论和可信性理论的不确定性设计方法。
The method of the uncertainty design using probability theory and credibility theory have been presented, which provides us with a useful modeling tool for random and epistemic parameter uncertainty.
讨论了一类具有模糊概率和模糊属性评价值的不确定性决策问题。
This paper investigates a type of uncertain decision making problems with fuzzy probability and fuzzy payoff assessment.
讨论了一种概率信息系统用于表示对象与属性值之间的关系存在不确定性的信息。
Probability information systems, which are used to represent the uncertainty information between objects and attributes, are discussed.
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.
本文在考虑地震烈度评定和预测的不确定性的基础上，提出建立烈度衰减概率模型的方法。
A method is presented for use in establishing probability model of seismic intensity attenuation in regions with abundant data of isoseismal maps.
根据动态联盟企业信息具有不确定性的特点，应用贝叶斯网络对企业的风险概率进行识别。
According to the uncertain characteristics of information in virtual enterprise, the Bayesian network is used to identify its risk probability.
采用具有已知概率的离散情景描述顾客需求的不确定性，利用基于情景分析的鲁棒线性优化方法建立供应链的运作模型。
Uncertain demands are described as a scenario set with certain probability, the supply chain operation model is constructed by using the robust linear programming method based on scenario analysis.
针对具有实参数不确定性的热工过程，基于概率鲁棒方法，提出一种PID控制器设计方法。
PID controller design method based on probabilistic robustness was presented for thermal process with varied parameters.
并通过实例讨论了事故树分析中事故发生概率不确定性的传递合成和事故后果分析模式的参数不确定性问题。
The transmission and syntheses of the uncertainties of the probabilities in the FTA and the parameters uncertainty of the accidental resulting models have been discussed by the actual examples.
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.
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.
贝叶斯学习理论使用概率去表示所有形式的不确定性，通过概率规则来实现学习和推理过程。
Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.
这些不确定性导致概率水准，是测量的内在风险在设计。
These uncertainties result in a probability level that is a measure of the risk inherent in the design.
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。
Rough Set Theory is another mathematical tool used for dealing with fuzzy and uncertain knowledge besides Probability Theory, fuzzy Set Theory and Evidence Theory.
应用概率论和数理统计方法，建立了无缝线路动力稳定性分析系统中的随机不确定性的概率模型。
Using probability theory and mathematical statistics, probabilistic model on randomicity of the dynamic stability analysis system are built.
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