根据诊断知识的利用方式，可以将故障源分离与定位技术分为基于模型的方法与基于规则的方法两大类。
According to the ways of using the diagnosis knowledge, can fault source separation and location technology based on the method and model are divided into two kinds of method based on rules.
为了从数据集中发现感兴趣的知识规则，须得利用好数据挖掘这一数字信息时代的利器。
In order to find the interested knowledge from datasets, it is required to use data mining which is useful in times of digital information.
利用模板编辑知识规则。
利用知识的粒度，提出了一种新的规则挖掘方法。
The knowledge granularity was used to present a new method to mine rules based on granularity.
利用它支持图像分类，在分类过程中，相关的地理数据得到使用，且用规则表示成像和知识。
In classification procedures, the associated geographic data are used as well as imagery, and knowledge is represented by rules.
粗糙集理论是一种新型的数据挖掘和决策分析方法，利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.
该系统以知识库作为协同工作的基础，利用知识库里的规则和知识实现工作流之间的协同工作。
This system USES knowledge base as the base of cooperative workflow, realizes the workflow collaboration by knowledge and rules in the knowledge base.
针对120-1空气制动机的故障特点，本文利用故障树分析法结合逻辑编码的方式建立知识规则集。
In view of 120-1 air brake fault characteristics, it used fault tree analytic method union logic code way to establish knowledge rule-set.
应用这种方法能够将不完备系统转化为模糊信息系统，然后利用模糊粗糙集理论，让隐藏在不完备信息系统中的知识以决策规则的形式表示出来。
Based on fuzzy rough set theory, it is liable to change the incomplete system into fuzzy information system and make the covert knowledge stand out in a way of decision regularity.
但开源软件的出现并不是对传统知识产权的颠覆与否定，而是在其基础上利用其原有规则所作出对开源软件的保护。
But the emergence of open source software is not the subversion and denial of the traditional intellectual property. In fact, it makes use of the traditional intellectual property to protect itself.
本文利用规则与有限状态自动机相结合的方法实现动态知识联通。
The method of combining rule with finite state machine can perform the dynamic knowledge interconnectivity.
利用粗糙集理论进行数据挖掘，抽取知识规则，最重要的一点就是基于粗糙集的属性约简和规则提取算法的研究。
To use of rough set theory for data mining and the extraction rules of the knowledge, the most important point is that based on the attribute reduction and rule extraction algorithms of rough set.
在GPCM中，利用类产品结构表示产品的显式结构知识，规则表示产品的隐式知识，从而降低了复杂机械产品配置问题的求解复杂度。
In the GPCM, generic product structure is used to describe structural knowledge and rules to represent the implicit knowledge, this reduce the complexity of mechanical product configuration.
本文提出一个利用关联规则技术从粗糙集中发现知识的算法，该算法挖掘出的模式具有较高的精确度。
In this paper we propose an algorithm which can mining quantitative association rules in rough set. The pattern mined by this method has high precision.
为此，文章提出基于配置的产品模型和零部件族的概念、利用知识库和规则库实现产品配置的方法。
This paper puts forward the model based on product configuration, the conception of part and component and the way of product configuration by knowledge and rule in database.
运用属性约简算法生成分类规则，最后利用多知识库进行文档分类。
Generating classification rule by attribution reduces algorithm. Finally, the documents are classified with multiple knowledge bases.
利用产品功能结构树和零部件的信息，采用基于装配关系图分割的几何推理和基于规则的知识推理的方法来简化工艺子装配体的识别，以此生成装配结构树。
Meanwhile, based on the information of the function structural tree and its parts of the production, the sub-assembly was judged by dividing the assembly relation graph and matching the rule.
研究了如何利用神经元网络的生成能力来获取新的不确定性规则，使知识系统具有知识自动获取能力，并使原有规则系统的脆弱性得以改善。
A method of acquiring new uncertainty rules by the generating ability of the neural network is also discussed. Hence the knowledge system is enabled to acquire knowledge automatically and...
研究了如何利用神经元网络的生成能力来获取新的不确定性规则，使知识系统具有知识自动获取能力，并使原有规则系统的脆弱性得以改善。
A method of acquiring new uncertainty rules by the generating ability of the neural network is also discussed. Hence the knowledge system is enabled to acquire knowledge automatically and...
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