查询词典 reasoning

This paper presents a model and algorithms of causal qualitative reasoning based on integer programming. The result can be widely applied to many aspects of product design systems,such as parametric design by geometric reasoning,decornposition of complex design tasks and dependency analysis of design parameters.

该方法在产品设计中有广泛的应用，利用这个模型和算法可以较好地解决参数化设计中的几何推理问题，还可以用作概念设计的工具，用于完成复杂系统设计任务的划分以及定序、设计变量之间相互依赖关系分析等工作。

In order to overcome the technological difficulties encountered in the course of insulation fault diagnosis on the base of dissolved gases analysis, several kinds of mathematic models and actualized methods are brought forward to improve the reliability and veracity of fault diagnosis of transformers. The research works are shown mainly as followings:1 A modified fuzzy multi-criteria method is brought forward for insulation fault diagnosis of transformer. Furthermore, a new method for insulation fault diagnosis is proposed on the base of fuzzy multi-criteria together with rule reasoning. With fuzzy diagnosis in the method, fault reasons are filtrated and then the reasons in low probability are prohibited, Moreover, the left reasons are testified by using rule reasoning and then final concludes are drawn in much less misjudge probability and better results.2 On the base of geometry characteristics of C- partition to sample set of DGA data of transformer, a method is put forward to compute effective radius of neighbor field of a sample, number of clusters and values of initial centers. Moreover, the fuzzy C- means cluster model with adaptive weight is brought forward in the first time and then the fault classifier is designed for insulation fault diagnosis of transformer.3 According to the weakness of the degree of gray of gray incidence, a new formula to compute DGI is put forward and then incidence order criterion is ascertained. Moreover, a new DGI model for fault diagnosis is proposed according to the further analysis to relationship between fault reason and content of oil dissolved gases of transformer.

为解决在应用油中溶解气体分析方法（Dissolved Gases Analysis，简称DGA）诊断变压器内部绝缘故障时所遇到的主要技术难题，论文提出了用于提高变压器故障诊断准确性和可靠性的数学模型及实现方法，主要研究工作如下：1）提出了一种改进的变压器绝缘故障诊断模糊综合评判方法；进一步提出了将模糊综合诊断与规则推理相结合进行绝缘故障诊断的方法，该方法采用模糊推理对故障原因进行"过滤"，滤掉可能性极小的原因，然后进一步利用规则推理验证剩下的可能原因，得出最终结论，大大减少了误判比率，获得了较好的效果。2）根据以变压器DGA数据为特征量的样本空间的c-划分几何特性出发，提出了一种求取样本有效邻域半径和聚类数及聚类中心初值的方法，在此基础上，首次提出了一种自适应加权的变压器绝缘故障诊断的模糊c-均值聚类模型，并设计出故障分类器。3）针对常用灰色关联度的不足，提出了一新的灰色关联度计算公式及确定关联序的准则；并在此基础上，通过深入分析变压器发生绝缘故障时的原因与油中溶解特征气体含量的关系，建立了一种新的故障诊断灰色关联模型；通过实例分析证明，该方法能有效地诊断出变压器绝缘故障及故障部位，大大提高了诊断的准确性。

So-called intelligent behavior demands memory , remembering being a primary requirement for reasoning The reasoning.

所谓的智力行为需要记忆，记忆也是推理的基础。

This paper presents tour route clustering algorithm based on Isometric Encryption and Case Reasoning.It firstly processes the tourists' sensitive attribution using random isometric rotation transformation,then uses case reasoning to analyze the tour route on transformed dataset.

提出了基于等距加密和案例推理的旅游线路聚类算法，首先对旅游者的敏感属性进行随机等距旋转变换，再对变化后的数据集使用案例推理方法进行旅游线路的聚类分析。

Other major figures in statistics: John Graunt (introduced the concept of inference from a sample to an underlying population and described life expectancy); Karl Friedrich Gauss (developed modern statistical reasoning); the 18th-century English theologian Thomas Bayes (showed how probability can be used in inductive reasoning); Sir Ronald Fisher (the principle of randomization as a method for avoiding bias in studies); and Jerzy Neyman (the theories of estimation and testing).

其他统计学上的重要人物：John Graunt（从一项潜在的人口数和描述预期寿命的样本中引进了推论的概念）；Karl Friedrich Gauss；18世纪英国神学者Thomas Bayes（示范了如何将概率应用到归纳推论中）；Sir Ronald Fisher（随机化原则，一种避免研究中的偏移的方法）；还有Jerzy Neyman

Then, using the reasoning matrix between the unit colors and individual colors of the polychromatic sets, the reasoning and generation of geometric tolerance types are achieved.

介绍了各层的意义和各层之间的关系，利用多色集合理论对该模型进行描述，通过多色集合统一颜色和个人颜色的推理关系矩阵，实现了计算机辅助形位公差类型的推理生成，为计算机辅助形位公差类型推理的进一步形式化打下了基础。

As the negation of the hemi-rational and arbitrary judicial system, legal reasoning is the way to justice and the rule of law. In contrast, the logical method of legal reasoning is the noetic beyond the social system.

作为半理性和专断审判制度之否定形式的法律推理，是通向法治和正义的必由之路，而法律推理的逻辑方法作为一种认识工具则具有超社会形态的纯粹理性形式。

If you do, I invite you to go back over the reasoning that led up to it and find out where that reasoning went off the rails.

如果是，我请你回到得到这个结论的推理中，看看哪里出了问题。

The results indicate that (1) the significant main effect lies in the reaction time of analogy reasoning on the level of creative thoughts, reasoning types and groups.

研究结果表明：(1)类比推理的反应时在创造性思维水平、推理类型和组别上均存在显著的主效应，并且在创造性思维和推理类型之间存在显著的交互作用；而类比推理的正确率在推理类型和组别上存在显著的主效应。

On the base of applied tech. and system structure, the key tech. are expressed in detail. It includes:Knowledge representation technology: it is described in two stages by "Depictive frame + Rule group"."Depictive frame" is used to reflect the factors concerning question field."Rule group" reflects the son-question in question field; knowledge management system: it is made up of knowledge-base editing component, factor classifying component, knowledge inspecting component and extractive knowledge component; uncertainty reasoning adopt method of elicitation search strategy and data drive controlled by member knowledge. It take reliability of compound proof at first. That can resolve the matching contradiction. Reasoning explanation introduce pre-text and followed method of resolving path. Knowledge discovery component take SLIQ as basic arithmetic. It provides classification model in two stage forms which aim at training suit. That is decision tree and productive rule.

在确定应用技术与系统结构的基础上，重点阐述了本文的核心技术，这包括：知识表示技术，采用"描述框架+规则组"的层次结构，"描述框架"用于描述问题域所涉及的因素，"规则组"反映问题域内的子问题；知识管理系统，由知识库编辑构件、因素分类构件、知识检测构件和知识求精构件组成；不确定性推理机采用启发式搜索策略，元知识控制的数据驱动，以复合证据可信度优先作为匹配冲突消解的策略，推理解释采用预置文本与求解路径追踪的方法；知识发现，采用SLIQ快速可伸缩算法，分类模型用判定树与产生式规则两种形式描述。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。