1) fuzzy rules matching
规则的模糊匹配
2) 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。
3) fuzzy production rules matching algorithm
模糊产生式规则匹配算法
1.
Because the model uses fuzzy decision table to represent the four stages of collision avoidance action and adopts fuzzy production rules matching algorithm to consult the decision table,we can quickly know the stage where our ship lies during its collision avoidance action in any given condition.
该模型采用模糊决策表来描述避让行动的５个阶段，并运用模糊产生式规则匹配算法来实现对决策表的查询，从而能方便地得出在任一给定条件下本船所处的避让行动阶
4) matching rule
匹配规则
1.
By the theoretical analysis and proof,a set of matching rules are summarized for depicting inherent relations among matching results of entities.
通过理论分析和证明,总结出了一组刻画实体匹配结果内在联系的匹配规则。
2.
A matching rule was set up for the real gear tooth surface best-fitting the theoretical one, and four different algorithms were developed to calculate the deviations between the two surfaces.
针对二维数字化齿面几何特征及加工特点 ,建立一个基于表面测量的离散阵列式齿面加工误差分析模型 ;提出实测齿面与理论齿面间匹配规则 ,找到真实的加工误差分布 ;设计 4种不同算法 ,计算得到齿面各点加工误差 ;运用统计理论 ,对各齿面误差均衡 ,并以之为加工误差补偿预测值 ;实例验证了本文方法的正确性 。
5) rules matching
规则匹配
1.
This methodology uses NLP techniques and statistical algorithms to extract domain-spocific concepts from texts through semantic string segmentation, rules matching,analysis of domain consensus and relevance,and concept reduction.
为获取中文领域本体的概念提出了基于规则匹配和统计方法相结合的学习模型,充分利用现有的自然语言处理技术和统计学习方法,从领域文本中通过语义串切分、规则匹配、领域归属度分析和概念约简算法自动获取领域概念。
6) rule matching
规则匹配
1.
Fault diagnosis expert system with fault tree and rule matching;
基于故障树和规则匹配的故障诊断专家系统
2.
The Design and Implementation of Data Plane Rule Matching and Load Balance Module of PPU Based on NP;
基于网络处理器的协议处理单元数据平面规则匹配和负载均衡模块的设计与实现
3.
Research of new method for increasing rule matching speed of Snort
提高Snort规则匹配速度的新方法
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