1) the applicability of fuzzy rules
模糊规则适用度
1.
In the realization of system, the membership grade about eigenvector of bonding defect to debonding degree will be obtained by BP neural network, and then the applicability of fuzzy rules is obtained, hence the debonding degree of testing sample will be calculated.
在具体实现时,采用BP神经网络得到粘接缺陷特征向量对于脱粘程度的隶属度,进而得到模糊规则适用度,由此可计算出待测识别样本的脱粘度。
2) scale usage-degree
规模适用度
3) fuzzy rule matching degree
模糊规则匹配度
1.
The fuzzy set matching degree defiantion and the fuzzy rule matching degree definition were used to develop the model and the design steps.
对于模糊控制器的模型 ,定义了模糊集合匹配度和模糊规则匹配度 ,在此基础上给出了基于模式匹配的模糊控制算法的模型和设计步骤。
4) Rule adaptive fuzzy control
规则自适应模糊控制
5) fuzzy rules
模糊规则
1.
A method of selecting fuzzy rules based on the clonal selection algorithm;
基于克隆选择算法的模糊规则提取方法
2.
Extract of fuzzy rules of the increase of Chinese economy based on fuzzy neural networks(part Ⅲ);
基于模糊神经网络提取我国经济增长的模糊规则(Ⅲ)
6) fuzzy rule
模糊规则
1.
An approach of learning fuzzy rules based on learning automata arrays;
基于学习自动机阵列的模糊规则学习方法
2.
New algorithm for VLSI production sequencing problems based on fuzzy rule;
基于模糊规则的半导体生产线队列排序算法
3.
Identification of tea taste signals based on fuzzy rule generation algorithm;
基于模糊规则自动生成算法的茶味觉信号识别
补充资料：模糊规则
模糊规则的形式为：if x is A then y is B
其中A和B为由论域X和Y上的模糊集合定义的语言值。“x is A”称为前提，“y is B”称为结论。
以上模糊规则可以简写为A → B。本质上模糊规则是定义在X × Y上的二元模糊关系R。A → B有
两种解释，一种是A耦合（coupled with）B:
<math>R=A \rightarrow B = A \times B = \int_{X \times Y}^{}tnorm(\mu_A (x), \mu_B (y))/(x,y)</math>
另一种是A导致（entails）B：
<math>R=A \rightarrow B = \bar{A} \cup B</math>
基于以上两种解释和不同的tnorm, tconorm算子，模糊规则可以有多种合法的计算公式。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条