1) fuzzy production rules
模糊产生规则
2) fuzzy production rules
模糊产生式规则
1.
A Research on Learning Weights of Fuzzy Production Rules Based on Maximum Fuzzy Entropy;
基于极大模糊熵原理的模糊产生式规则权重获取方法研究
2.
Grabisch to the reasoning of fuzzy production rules.
模糊产生式规则作为模糊推理中一种重要的工具，被广泛地应用在专家系统中，以描述模糊的或者不确定性的概念。
3.
When fuzzy production rules are used to approxim.
所以基于模糊产生式规则的推理研究成为人工智能中的研究热点。
3) Fuzzy production rule
模糊产生式规则
1.
Obtains a new fuzzy data fusion method by applying fuzzy production rules to multisensor fusion system, then models the data fusion system by Petri net.
将模糊产生式规则应用到多传感器融合系统中得到一种模糊信息融合方法，再用Petri网对此信息融合系统建模。
2.
A approximate reasoning scheme based on fuzzy set-valued fuzzy sets is proposed, where fuzzy production rules are used for knowledge representation in ARSFSISO, and the fuzzy states appearing in the fuzzy production rules are represented by fuzzy set-valued fuzzy sets.
通过在单输入单输出（ＳＩＳＯ）的近似推理方案（ＡＲＳ）中，用模糊产生式规则表示知 识、以模糊集值模糊集刻划模糊产生式规则中出现的模糊状态，提出了一个基于模糊集值 模糊集的近似推理框架；从而使单输入单输出的近似推理方案（ＡＲＳＦＳＩＳＯ）的推理能力 得以增
3.
When fuzzy production rules are used in approximate reasoning,there are interaction influences on rules that have the same consequent but different antecedent.
当模糊产生式规则应用在近似推理过程中时,前件相同而后件不同的模糊规则之间往往存在交互影响。
5) Weighted Fuzzy Production Rules
加权模糊产生式规则
1.
Extracting Weighted Fuzzy Production Rules from Trained Neural Networks;
从神经网络中抽取加权模糊产生式规则
6) interval-valued fuzzy production rule
区间值模糊产生式规则
1.
Based on the interval-valued fuzzy set theory, a reasoning method for a interval-valued fuzzy production rules based on interval-valued fuzzy set is proposed.
最后用实例说明采用区间值模糊产生式规则进行不精确推理的方法。
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