1) TSK fuzzy rule
TSK 模糊规则
2) TSK fuzzy model
TSK模糊模型
1.
Method of learning TSK fuzzy model by cooperative coevolution;
TSK模糊模型的协同进化学习方法
2.
First fuzzy clustering is applied to obtain a compact initial TSK fuzzy model from the data for training.
首先,采用模糊聚类分析方法从训练数据建立其初始TSK模糊模型。
3) TSK fuzzy system
TSK模糊系统
1.
TSK Fuzzy Systems Based on Fuzzy Partition and Support Vector Machines
基于模糊划分和支持向量机的TSK模糊系统
2.
This paper re-discusses TSK fuzzy systems modeling from a new perspective.
从一个新角度重新探讨TSK模糊系统建模问题,引入并分析推导一种新的TSK模糊系统——CTSK。
3.
Compared with the traditional TSK fuzzy system, the proposed CTSK fuzzy system has the following advantages: 1) having a high interpretation y; 2) having a better robustness; 3) having a good approximation.
接着引入并详细分析推导了一种新的TSK模糊系统CTSK(Central TSK Fuzzy System)。
4) TSK model
TSK模型
1.
Linear control theory can be used to control nonlinear system using the TSK model.
研究非线性系统TSK模糊模型的辨识与控制,利用TSK模型,可以将线性控制理论应用于非线性系统控制。
2.
To change from the fuzzy numbers and extended operations to the operations of general numbers in the consequent of the rules, a variable weight TSK model that is equivalent to ETSK model (extension principle based TSK model) is deduced.
基于扩张原理的 TSK模型 (ETSK模型 ) ,推导出一种 ETSK模型的等价表达形式 (变权 TSK模型 )。
3.
In order to improve the calibration accuracy of the traditional car-following model based on fuzzy reasoning,this paper proposes a new model based on the TSK model.
为解决传统的基于模糊推理的车辆跟驰模型参数校准精度差的问题,提出了基于TSK模型的车辆跟驰模型。
5) type-2 TSK fuzzy model
二型TSK模糊模型
6) variable weight TSK model
变权TSK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