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.
在知识表达中提出级别的概念，极大地提高了推理效率，缩小了规则搜索范围。
The level conception is delivered in the knowledge expression method, which raises the infer efficiency and reduces the search range of rules greatly.
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.
首先，提出一种模糊Q学习算法，通过模糊推理系统将连续的状态空间映射到连续的动作空间，然后通过学习得到一个完整的规则库。
A fuzzy Q learning algorithm is proposed in this dissertation, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.
论文提出一种模糊强化学习算法，通过模糊推理系统将连续的状态空间映射到连续的动作空间，然后通过学习得到一个完整的规则库。
In this paper, we propose a fuzzy reinforcement algorithm, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.
结合规则推理与神经网络，提出了一种新的空袭武器辅助选择方法。
This paper presents a new method of aided air-raid weapon selection by coordinating rule-based reasoning and neural network.
为了在稀疏规则条件下能有好的插值推理结果，提出了一种相似插位推理方法。
In order to get better result when rule base is sparse, we propose a similarity interpolative reasoning method which can keep the convexity and normality of the reasoning result better.
并提出了模糊规则的改进推理和自学习方法。
While the article proposes the improved inference and self-learning method of fuzzy rule.
提出了客户需求知识的框架-规则表示方法及推理过程，对产品知识索引与检索方式进行分析。
The representation of client requirement knowledge based on frame - rule and its inference process are presented, the product knowledge index and retrieve are analyzed.
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.
针对直觉模糊粗糙逻辑（IFRL）推理的规则库检验问题，提出了IFRL规则库的互作用性检验方法。
To the rule-bases checking issue with intuitionistic fuzzy rough logical(IFRL) reasoning, an interactivities checking approach to IFRL rule-bases is proposed.
为了解决基于广义三棱柱(GTP)的三维地层模型自动建模问题，提出了一种三维地层构造知识推理规则和建模方法。
In order to solve the 3d automatic modeling problem of strata based on Generalized Tri-prism (GTP), a kind of 3d stratum structure knowledge inference rule and modeling method is put forward.
本文提出以智能诊断技术中的规则推理理论为手段，将领域专家的临床经验和知识转化为若干条规则。
It is advanced that clinical experience and knowledge can be translated into some rules by introducing rule-based reasoning theory of intelligent diagnostic technique.
提出了一种新的压力中心计算方法，并对基于规则和实例的混合推理技术进行了较深入的研究。
Some key technologies, such as the compound CBR and RBR technology and a new calculating approach of pressing center are studied.
定义了非对称相似关系的近似集概念，提出了一种利用非对称相似关系下近似集和属性值对的基于粗糙集的确定规则推理算法。
In this paper, the concept of non-symmetric similarity relation had been used to formulate a new definition of approximation to an incomplete information system.
最后提出了集成案例推理与规则推理的车辆保险决策支持系统并给出了系统框架。
At last, this paper gives the integrated reasoning model of CBR and RBR and put the framework of decision support system.
对复合三值规则的无损分解进行了详细探讨，最后提出了一个能进行不确定推理的新算法。
The lossless decomposition of compound T rules is explored in detail. A new algorithm dealing with uncertain reasoning Problems is Presented at last.
本文提出了一种新的推理机制来确定规则的专业知识为基础的Petri网适当的开关操作（RKPN）方法。
This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach.
提出了基于牵引计算和规则集推理的精确系统初始映像方法。
This paper proposes a new accurate simulation initialization method based on train performance calculation and rules-reasoning.
本文阐述了基于规则和框架的诊断专家系统的知识表示方法，提出将基于规则和故障树相结合的推理方法。
The hybrid reasoning strategy fused by the rule-based reasoning and fault tree reasoning is used to meet the request of equipment diagnosis.
在选定数据集上的仿真实验数据表明，提出的方法可以明显提高基于加权模糊产生式规则的专家推理系统的泛化能力。
Experimental results on a number of selected databases demonstrate the expected improvement of generalization capability of the FPR-based expert systems.
提出了一个基于混合智能的电火花加工电参数学习模型，它模仿熟练操作者的决策过程，由工艺数据库、加工规则库、学习模块和推理模块组成。
A learning model with hybrid intelligence for the electrical parameter in EDM which imitates a decision making process of a skilled operator was described.
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.
根据我国大型港口机械设计的实际需要，提出了基于由实例推理和规则推理构成的混合推理的产品配置技术。
According to the actual demand of large port mechanical design, product configuration technology design based on blend reasoning is proposed.
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.
在这种XFD定义的基础上研究了XML的推理规则和逻辑蕴涵问题，提出了一组推理规则集并证明了推理规则的正确性和完备性，给出了求解路径闭包算法和成员籍算法。
Based on the definition of XFD, the inference rules for XML and logical implication is studied, and a set of inference rules, a path closure algorithm and membership algorithm are presented, an.
法学教育通过类推支持这种等级，通过将其背后的规则正当化的方式提出一个普遍的合法性思想意识，而且通过将法律推理神秘化的方式为其提供一种特定的意识观念。
Legal education supports it by analogy, provides it a general legitimating ideology by justifying the rules that underlie it, and provides it a particular ideology by mystifying legal reasoning.
提出了一种规则自校正模糊控制器 ，并将其用于交流伺服系统的控制中 ，设计了一种在线的模糊推理算法 ，使得模糊控制规则可以得到实时在线的调整 。
On the basis of manipulators theoretical model of the operating arm, the self-tuning fuzzy controllers model of predictive control will be constructed.
提出了一种规则自校正模糊控制器 ，并将其用于交流伺服系统的控制中 ，设计了一种在线的模糊推理算法 ，使得模糊控制规则可以得到实时在线的调整 。
On the basis of manipulators theoretical model of the operating arm, the self-tuning fuzzy controllers model of predictive control will be constructed.
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