1) fuzzy linear programming
模糊线性规则
2) linearity fuzzy rule
线性模糊规则
3) nonlinear fuzzy rule consequence
非线性模糊规则后件
1.
To overcome the difficulty that an accurate mathematic model is hard to obtain,a batch process model based on fuzzy neural network with nonlinear fuzzy rule consequence is proposed.
为了克服难以获得间歇过程的精确数学模型这一难题,本文采用一种具有非线性模糊规则后件的模糊神经网络建立间歇过程的模型,在此基础上提出一种基于Lyapunov方法的全局收敛性参数学习算法,并给出了严格的数学证明。
4) 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)
5) 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
6) fuzzy if-then rules
模糊if-then规则
1.
A model fitted in with future price forecasting was established based on genetic algorithm and fuzzy IF-THEN rules.
基于遗传算法和模糊IF-THEN规则,建立适合期货价格预测的模型。
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