模糊规则库是模糊控制器的核心。
模糊规则是模糊决策系统的核心内容。
Fuzzy rule sets is the core content of fuzzy decision system.
还建立了包括49 个模糊规则的规则库。
提出了一种二层学习算法来优化模糊规则基。
This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases.
基于模糊规则集度量，提出了一种故障诊断系统。
Based on the fuzzy measuring of fuzzy rule sets, a scheme system used for fault diagnosis is proposed in this paper.
模糊规则自动生成是模糊控制的关键性技术之一。
Automatic generation of fuzzy rules is a key technique in fuzzy control.
介绍了模糊控制器的结构、模糊规则及控制算法。
The structure of the fuzzy controller, the fuzzy regulation and control algorithm are introduced.
模糊理论利用模糊规则来表示具有不确定性的数据；
The fuzzy theory with fuzzy rule is employed to indicate the uncertainty data.
在模糊控制系统中，模糊规则库的构建是至关重要的。
It is important to structure the fuzzy rules store in the fuzzy control system.
提出了利用改进的克隆选择算法发现模糊规则的方法。
This paper proposes a new method to find fuzzy rules using an improved clonal selection algorithm.
应用进化编程自动产生若干条模糊规则以检测各种攻击。
This paper proposes one approach for intrusion detection based on fuzzy classifiers and evolutionary programming.
因此研究模糊规则的自动生成有着重要的理论和应用价值。
Therefore, researching automatic generation of fuzzy rules has important values in the theory and application.
这种模型是一种模糊模型，可以很容易由几条模糊规则得出。
The hyperbolic model can be easily derived from a set of fuzzy rules.
本文针对TS模糊系统提出一种模糊子集和模糊规则的合并算法。
In this paper, merging algorithms of fuzzy subsets and rules are proposed to deal with ts fuzzy systems.
结合模糊聚类和粗糙集提出了一种基于精简的模糊规则库分类算法。
Proposes a classification algorithm based on simplified fuzzy rules base combining fuzzy clustering with rough set.
提出了一种基于模糊软分类和粗糙集理论来提取模糊规则的一种算法。
On the basis of fuzzy clustering and rough set, an algorithm for extracting fuzzy rules was proposed.
本文讨论了扩张矩阵的路径，提出了一种抽取模糊规则的启发式算法。
This paper discussed the path of extension matrix and introduced a new heuristic algorithm.
这种二层优化方法能较好地减少模糊规则基的冗余度，化简模糊规则基。
This hierarchical learning algorithm can reduce the redundant rules and simplify the fuzzy rule base.
提出一种从训练样本提取基于超盒表示的模糊规则的方法，用于模式分类。
In this paper, we discuss a new method for rule extraction based on hyper-box representation.
应用变结构控制理论，引入模糊规则自适应地调整趋近律，设计了制导律。
Fuzzy logic rules are introduced to adjust approaching law adaptively, and the guidance is designed by applying variable structure control theory.
对于模糊规则的获取，传统的方法是凭经验来确定，这种方法复杂且难度大。
The classical methods of extracting fuzzy rules is determined by experience, which is complex and more difficult.
该方法对模糊规则和观测数据进行了预处理，给出系统模型的初始结构和参数。
Using the method, the fuzzy rules and crisp data were preprocessed and the ideal initial parameters were given.
该方案在建立糖厂锅炉燃烧系统的多输入、输出控制的模糊规则中取得满意效果。
This method got satisfactory result in establishing fuzzy control regulation for boiler combustion system with multiple inputs and multiple outputs in sugar refinery.
第三部分，在前述工作基础上，用模糊rbf神经网络实现模糊规则的自动获取。
Based on above work, in the third part, actualize fuzzy rules automatic generation applying fuzzy RBF neural net.
尽管用各种方法进行优化计算，人工设定模糊规则还是很困难的，甚至是不可能的。
Although there are many kinds of methods to optimize compute, it is difficult to artificially set fuzzy rules, even impossible.
针对常见的单输入单输出的热力系统，提出了逆动力学模糊规则模型的一般结构形式。
Aiming at the familiar SISO thermodynamic system, the general structural style for inverse dynamics fuzzy rules model is presented.
给出了模糊滑模控制器的构成，以及模糊化、模糊规则与推理、反模糊化处理的方法。
The composition of the fuzzy controller and the control method of the fuzzy, fuzzy rule and reasoning, and back fuzzy were given.
在模糊聚类算法的基础上，提出了一个衡量聚类有效性的函数，以确定模糊规则的数目。
A function for measuring clustering validity based on the fuzzy clustering algorithm is defined with which the number of fuzzy rules can be determined.
该算法以一组模糊规则作为非线性对象内部模型，一条模糊规则表示一个局部线性系统；
The control scheme adopts a group of fuzzy rule sets as internal model of the nonlinear plant, where a fuzzy rule set represents a local linear system.
因此，模糊规则集的自动生成及隶属度函数的在线调整对于现代焊接过程控制来说是迫切需要的。
Therefore, the automatic determination of the fuzzy rule and in-process adaptation of membership function are required for the advanced welding process control.
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