该方法利用数据融合技术降低了模糊控制器的输入维数，简化了模糊控制器的设计。
It reduces the input dimension of the controller using data fusion technique and simplifies the fuzzy controller's design.
在此参数表示下，模糊数可直接视为二维度量空间r 2中的有界连续曲线，这给分析模糊微分方程带来了便利。
By the parametric representation, fuzzy number means a bounded continuous curve in the two-dimensional metric space R2, so that it is easy to analyze fuzzy differential equations.
在对焊点质量与焊接过程中信息的盒维数统计物理关系的分析基础上建立了基于模糊控制理论的焊点质量判定系统。
The qualitative judgment system based on fuzzy control was built after analyzing the relation between quality of spot welding and the box fractal dimension of signals in spot welding.
讨论了滤波器中时间序列的短时分形盒维数的定义及分形模糊控制函数形式及选用方式。
The definition of short-time fractal box dimension and the fuzzy control function of the filter are discussed.
分析了一阶分形模糊控制滤波器的频率-幅度特性，白噪声和有色噪声分形盒维数的变化；
The frequency-magnitude response of the fractal filter and the change of fractal box dimension of white noise and color noise are analyzed.
模糊粗糙集理论是解决数据集维数问题的有效工具，但基于模糊粗糙集的降维算法还不多。
Fuzzy rough set theory is an effective tool for reduction of data dimension, but there are few dimension reduction algorithms that are based on fuzzy rough set theory so far.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory, and it can reduce the rules of fuzzy greatly.
针对流程工业数据的高维数、不确定的特点，研究适合处理流程数据的模糊集、粗糙集的粒度数据挖掘理论和方法。
According to the high dimensions and uncertainty of process industrial data, the fuzzy set and rough set of granularity data mining are studied for process data.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory , and the quality of the fuzzy controller was improved.
通过把特征值翻译为模糊值，即使对于不同的范围和维数的特征值组合，模糊分类能够标准化特征值。
By translating feature values into fuzzy values, fuzzy classification can standardize features and allows the combination of features, even of very different range and dimension.
通过把特征值翻译为模糊值，即使对于不同的范围和维数的特征值组合，模糊分类能够标准化特征值。
By translating feature values into fuzzy values, fuzzy classification can standardize features and allows the combination of features, even of very different range and dimension.
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