认知方式是影响图形推理水平的重要人格变量。
The cognition style is the important personality variable, which affects the figure reasoning level.
图形推理是是一种重要的认知形式，它不仅受认知因素的影响，还与个性有一定关系。
Figure reasoning is an important cognitive style, it is not only affected by cognition, but also affected by personality.
提出了两种用于一阶谓词逻辑推理的图形方法：目标制导的图形推理法和变迁框图形推理法。
Two graphical methods used in first-order predicate logical reasoning, that is goal-guiding graphical reasoning method and transition frame graphical reasoning method, are presented.
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.
系统采用有反馈的全并行融合系统结构，以分级式d S证据推理为数据融合算法，最终实现一个图形化的目标识别系统。
We use a parallel and with feedback fusion system architecture, cascade D-S evidence theory to be fusion algorithm. Finally, a graphic target recognition system is realized.
提出了一种符合图形界面下建立通用电网模型的知识推理方法。
The knowledge inference method of the general network modeling with graphic interface is introduced, in which the system model is gradually inferred from the visual system connection diagram.
采用图形化编程技术，开发了一种故障诊断推理流程图，方便了用户的开发。
A type of inference flow chart is developed using the technology of graphical programming, which is easy for user to develop further.
建立意图后承的形式化推理系统是意图形式化研究中的一个重要课题。
To establish a formal inferential system of intention consequences is an important issue in the formal study of intention.
通过对不确定知识的学习和推理，图形模型引入对检索有利的信息，从而能提高检索效果。
They lay in the useful information by learning and inferring the possibility of knowledge to improve the retrieval performance.
提出一个基于正向推理的图形匹配识别算法。
At last, an intelligent shape matching algorithm based on forward reasoning is presented.
提出了一种符合图形界面下建立通用电网模型的知识推理方法。
Research and Implementation of RDF Knowledge Reasoning based on Concept Semantic Network Graph;
提出了一种符合图形界面下建立通用电网模型的知识推理方法。
Research and Implementation of RDF Knowledge Reasoning based on Concept Semantic Network Graph;
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