查询词典 fuzzy set

In this strategy, the unknown nonlinear functions are approximated by the fuzzy tree model to obtain the prototype controller; the linear parameters in the fuzzy tree model are adjusted online to improve the performance of the controller in realizing the tracking control to a bounded set point input.

该方法用模糊树模型逼近非线性系统中的未知非线性函数，得到初始的控制器，然后在线调节模糊树模型中的线性参数，改善控制器的性能，实现对有界参考输入信号的跟踪控制。

Although the panel logit models verify the effects of the explanatory variables consistently with the theory, the prediction accuracy is not as good as that of neuro fuzzy. In addition to the better out-sample prediction accuracy, neuro fuzzy also provides a more detailed and complicated relationship among the variables through the rule base mid 3-dimension graphics, which could be used for further theory development or modification Overall, the banking crises ca be predictable; however, each country needs different forecasting model. The mapping between the forecasting model mid data set characteristics ca be further developed for the future research.

实证结果显示，虽然Panel Logit之固定效果与随机效果模型皆验证了过去理论上各变数对银行危机之影响方向，但整体而言，其预测准确度并不比类神经模糊好；而类神经模糊除了提供更准确的样本外预测之外，其所建构的规则库与3D图提供较以往更为细腻的变数关系，此关系可作为未来理论发展之基础；整体而言银行危机可以被有效的预测，然而单一国家的预测结果显示不同的国家适用不同的预测工具，没有一项工具能够适用於所有的国家；而资料集属性与预测工具之对应关系可作为未来之研究方向。

Fuzzy clustering is an important branch of fuzzy set theory, and is widely applied in image segmentation.

模糊聚类是模糊理论的一个重要的分支，在图像分割中得到广泛应用。

However every single-machine subsystem of the power system can be approximated by a set of T-S fuzzy models in this paper, the consequent part of every model has a constant bias term, every fuzzy model represents a linearized m.

模型未知的仿射型多机耦合电力系统用一系列T-S 模糊模型逼近，且模糊模型的结论部分具有常数偏差项。

In this paper,the definition of the fuzzy stable set of convex compound fuzzy game is given.

本文建立了凸合成模糊对策的模型，并得到了凸合成模糊对策的模糊稳定集，可由子对策的模糊稳定集表达出来。

E. , only are random variables, pointed that every objective important degree commonly is different, built the equivalent deterministic weighted programming model based on fuzzy set theory for multi - objective fuzzy stochastic linear programming.

研究了资源量b为随机变量的多目标随机线性规划问题，指出了多目标规划问题的目标一般不是同等重要的，针对多目标模糊线性规划问题，利用模糊集合理论建立了相应等价的确定性加权模糊随机规划模型。

Because normal fuzzy set operations may lose the knowledge in fuzzy sets, three extended operations are defined in this thesis based on the thought of distinguishability.

除此之外，本文还围绕确定性知识含量度量的研究工作，就相关其他问题展开了讨论，其中包括：给出了知识库知识差异性的度量公式及范畴简化的度量公式，并从理论上证明确定性知识库的叠加操作不可以产生新的知识。

By using the fuzzy set theory,fuzzy distribution of each parameter is studied.

研究了Q值各影响参数的量化技术，应用模糊集理论分析了各参数值的模糊性。

A complete set of image processing and recognition of the source code This is our internal development and use of a image processing code, includes the most image processing and recognition processing function : as template transform, Image smoothing, sharpening, edge recognition, image filtering and fuzzy images, image inverse filtering, fuzzy image noise increases, Wiener filter images, linear transformation, gray tensile, histogram equalization, images corrosion, expansive images, image open operation, GIF correct coding, zooming, rotation, fast Fourier transform, discrete cosine transform, and so on and so forth, that is too many.

详细说明：一套完整的图像处理与识别的源码这是我们内部开发与使用的一套图像处理代码，里面包括了大部分图像处理与识别处理的的函数：像模板变换，图像的平滑、锐化、边缘识别、图像中值滤波、图像模糊、图像逆滤波、图像模糊加噪、图像维纳滤波、线性变换、灰度拉伸、直方图均衡、图像腐蚀、图像膨胀、图像开运算、GIF确码编码、缩放、旋转、快速付立叶变换、离散余弦变换等等，等等，太多了。

The fuzzy classification system is an important application of the fuzzy set theory.

模糊分类系统是模糊集合理论中的一个重要的应用。

The second is to cut a mere 100 calories from your diet , which is the equivalent of a tablespoon of butter.

第二个就是从你的饮食中减少一百卡路里，只是相当于一大汤匙的黄油。

This is where the Rorschach test comes in.

现在，罗氏测试就出现了。