前件推导是定理证明的一种扩展。
复合规则通过频繁的原子规则前件项组合和支持度和置信度的估算得到。
The compound rules are generated by combination among the frequent antecedent items of atomic rules and the estimation of support and confidence for compound rules.
在模糊推理过程中，推理前件的微小变化往往会引起推理结果的较大变化。
In the process of fuzzy reasoning, a small variance of input often causes a big variance of output of fuzzy reasoning.
模糊逻辑系统的区域分割学习方法采用规则前件为不对称高斯型隶属度函数的模糊逻辑系统。
Fuzzy rule region-split method adopts the fuzzy system whose antecedents take the asymmetric Gauss function as membership function.
通过改进模糊聚类方法确定模糊模型的前件结构，并对模糊推理关系矩阵进行正交最小二乘估计。
The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.
假言推理是前提中有一个为假言命题，并且根据假言命题前件与后件之间的关系而推出结论的推理。
Hypothetical reasoning is a reasoning that premise has a proposition and bases on the relation of proposition of protasis and apodosis to made a conclusion.
本文通过改进模糊聚类方法确定模糊模型的前件结构，然后对经模糊聚类得到的模糊前件推理矩阵进行QR分解。
In the paper, the premise structure of fuzzy model is obtained by the improved fuzzy clustering. Fuzzy inference matrices are decomposed on the basis of QR decomposition.
模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。
The T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.
模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。
The T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.
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