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1)  rule abstracting algorithm
规则提取算法
2)  Algorithm for extracting Fuzzy rules
模糊规则提取算法
3)  rule extraction
规则提取
1.
Raw cotton yarn tenacity's rule extraction based on Rough Set theory;
基于Rough Set理论对原棉纱线强度的规则提取
2.
Data enrichment and rule extraction based on approximate attribute reduction in the context of rough sets;
基于近似属性约简的信息表浓缩和规则提取
3.
Algorithm on rule extraction based on rough set and neural network theory;
基于粗糙集和神经网络理论的规则提取算法
4)  rules extraction
规则提取
1.
An rules extraction algorithm of decision tree based on rough set theory;
基于粗糙集的决策树规则提取算法
2.
An algorithm of minimum rules extraction based on rough set theory;
基于粗糙集的最小规则提取算法
3.
Cloud model based rules extraction algorithm;
基于云模型的规则提取算法研究
5)  rule extract
规则提取
1.
A program is designed based on arithmetic of rough set theory for decision-rule extracting and parameter reduct in fault infor-mation table of engine.
利用基于粗糙集的知识约简和决策规则提取算法,将柴油机故障信息值进行约简,求出其决策规则,完成柴油机的故障信息条件属性值约简和决策规则提取程序设计。
6)  rule acquisition
规则提取
1.
According to the characteristics of time-series data, a strategy on data attribute reduction and rule acquisition using the concept of prediction success based on rough entropy was proposed.
分析了近似质量在提取非确定性规则方面的不足,并基于粗糙熵的预测成功度概念,结合时序数据特点,提出一种属性约简及规则提取策略。
2.
By these analysis,approaches to rule acquisitions and attribute reductions on a decision formal context are established.
在研究了概念格形成的偏序结构的基础上,引进了由两个形式背景形成的决策形式背景,讨论了外延集类上等价关系和交一致关系,给出了决策形式背景下规则提取与属性约简方法。
3.
The methods of the attribute reduction and a method of the rule acquisition of the consistent decision table a.
讨论了协调决策表的数据约简,并证明其不影响进一步的属性约简和规则提取。
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。
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