一个完整的本体知识库的推理机制必须能够支持这种基于规则的推理。
That means a whole ontology knowledge base needs to be able to support the reasoning based on rules.
推理方法包括用遗传算法进化推理，基于事例的推理以及基于规则的推理。
The reasoning methods include rule-based reasoning, case-based reasoning and generic algorithm.
指出现有信度决策树中推理算法的不足之处，给出了一种新的基于规则的推理算法。
This paper pointed out the shortages of reasoning algorithms of the present belief decision trees and then proposed a new reasoning algorithm.
传统的钻井专家系统采用基于规则的推理，对于难以规则化的典型案例不能够充分利用。
The traditional drilling expert system is based on rule, and the typical cases that are difficultly ruled could not be used enough.
多数故障诊断专家系统采用单一的推理机制，或者基于规则的推理，或者基于事例的推理。
Most fault diagnosis expert system adopted single reasoning mechanism, or rule-based reasoning or case-based reasoning.
基于规则的推理（RBR）和基于案例的推理（CBR）则是知识工程中两类实用有效的推理方式。
Rule-based and case-based reasoning are two important efficient reasoning methods in artificial intelligence field.
推理机采用了基于规则的推理，花境设计时的推理实现了不同的设计要素对花境景观设计的不同重要性。
Reasoning engine adopts the reason according to add regularly, realizing the different importance of different design factors in the process design.
整个网络既有神经网络的学习能力，又有模糊系统的基于规则的推理能力，特别是对子类的自动聚类能力。
The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.
文章提出了毛纺织工艺设计智能化模型，通过基于案例(CBR)和基于规则的推理(rbr)以及人工神经网络(ANN)等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model (WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
提出了基于知识的毛纺产品工艺设计智能模型，通过基于案例（C BR）和基于规则的推理（RBR）以及人工神经网络（ANN）等关键技术的引入，提高了系统解决实际问题的能力。
This paper presents the wool textile process intelligent design model(WTPIDM), by the introduction of CBR, RBR, ANN technologies, improving the system capability to solve the problems.
结果表明，与传统的基于规则推理(rbr)相比，CBR具有效率高且有自学习能力的优点。
The case demonstrates that CBR has the characteristics of high efficiency and self learning with contrast to conventional Rule Based Reasoning (RBR).
介绍了专家系统的具体实现过程，对基于规则、基于案例、基于模型以及混合推理的推理机制进行了研究。
It introduces the concrete realization course of the expert system and traverses the inference mechanism based on rule, case, model and hybrid reasoning.
提出了一种基于粗集的缺省规则挖掘模型，以利于在信息不完备情况下进行推理和决策。
A rough set model to mine default rules was presented in order to reason and solve the decision question with incomplete information.
由于规则推理比几何计算速度快、内存消耗小，因此推理能够提高基于空间关系的空间数据查询的速度和效率。
Since rules inferring is faster than geometry computation and requires little time, the rules are of help to improve efficiency of querying spatial data.
与传统的基于规则的系统相比，基于案例推理的系统具有简化知识获取、便于知识积累等优点。
Comparing to traditional rule-based system, it has many advantages, which can predigest knowledge gathering and accumulate knowledge easily.
本文通过研究采掘领域的专家知识，构造了采掘计划的规则库，并设计了基于产生式规则的推理程序。
Through studying the expert knowledge of mining scheduling, this paper constructed a mining rule base for mining scheduling, and designed a ratiocinate program based on production rules.
介绍了一种基于实例和规则的集成推理模型，并给出其在机械产品协同设计支持系统中的应用。
This paper summarizes CBD techniques and presents an integrated reasoning model based on CBR and RBR, and also introduces its application to mechanical product cooperative design.
论文还详细介绍了数控刀具事实库、规则库以及数控刀具选配系统推理机的设计方法，并建立了基于专家系统的数控刀具选配系统模型。
This paper also introduces the design methods of fact base, rule base and reasoning machine design method of NC tool selection system, and establishes NC tool selection model based on expert system.
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 presents the cloud model of fuzzy sets, uncertainty reasoning of control rules based on cloud model, and a two-dimension cloud model controller.
在基于规则推理的配置方法中，配置规则直接关系到产品配置设计的效率和结果。
The efficiency and results of product configuration design are related to the configuration rules in the Product configuration based on Rule-Reasoning.
但由于面向对象技术本身不具备规则推理能力，因此将现有的基于规则技术集成到面向对象系统中成为一个研究的兴趣点。
But object-oriented technology has no ability of reasoning itself, so it is always an interesting point of research to integrate the rule-based technology into object-oriented systems.
通过将启发式规则和事例相结合，提出了一种基于规则和事例混合推理的冲突解决支持技术。
By combining heuristic rule and case, we put forward a collision solution support technique by integrating case-based and rule-based reasoning.
提出一种基于粗集理论的，把属性的重要性和属性值的出现频率综合起来进行规则推理的方法。
Based on rough set theory, a rule inference approach of integrating the importance of attributes with the emergence frequency of attribute value is proposed.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
范例推理作为基于规则推理技术的一个重要补充，已受到人工智能研究人员的普遍关注。
As an important supplementary technique to rule based reasoning, case based reasoning, has been emphasized by researchers in the artificial intelligence field.
通过对基于规则、模型与案例推理的分析，给出了基于混合推理策略的半智能CAFD系统总体结构。
Through the analysis on ruled based and model based and case based reasoning, an overall structure of semi intelligent CAFD system based on mixed reasoning strategy is presented.
通过对基于规则、模型与案例推理的分析，给出了基于混合推理策略的半智能CAFD系统总体结构。
Through the analysis on ruled based and model based and case based reasoning, an overall structure of semi intelligent CAFD system based on mixed reasoning strategy is presented.
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