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lengyou
- 包括调制，解调，信噪比计算，AHP层次分析法计算判断矩阵的最大特征值,基于负熵最大的独立分量分析。- Includes the modulation, demodulation, signal to noise ratio calculation, Calculate the maximum eigenvalue judgment matrix of AHP, Based on negative entropy largest inde
fao_bu83
- AHP层次分析法计算判断矩阵的最大特征值,isodata 迭代自组织的数据分析，基于负熵最大的独立分量分析。- Calculate the maximum eigenvalue judgment matrix of AHP, Isodata iterative self-organizing data analysis, Based on negative entropy largest independent component an
7415
- 基于kaiser窗的双谱线插值FFT谐波分析，这是第二能量熵的matlab代码，AHP层次分析法计算判断矩阵的最大特征值。- Dual-line interpolation FFT harmonic analysis kaiser windows, This is the second energy entropy matlab code, Calculate the maximum eigenvalue judgment matrix
CE
- 层次分析法，序关系法，变异系数法，熵权法的matlab程序，经测试很实用，可以计算指标权重(Analytic hierarchy process, order relation method, coefficient of variation method, entropy weight method of Matlab procedures)
Entropy
- 常见的熵值计算的matlab 程序统计 样本熵 模糊熵 排列熵 多尺度熵 层次熵等(SampleEntorpy FuzzyEntropy PermutationEntropy HierarchicalEntropy)
entropyWeight
- 熵权法计算权重矩阵，比层次分析法更为客观的权重确定算法，适合建模(Weight matrix determined by entropy weight method)
Entropy熵入门
- 相关熵的入门程序，内含样本熵、层次熵、模糊熵的程序，可用(Introduction to correlation entropy)
AHP
- 基于matlap的计算层次模型的编程和熵权法(Computational hierarchy model)
matlabcode
- 层次分析法与熵权法的代码，比较详细具体，有注解，实用(AHP code and the Entropy method, more detailed and specific comments, practical)
clustering
- 自己做的一些层次聚类 有一些数据集 和一些仿真图 用的是信号熵特征进行聚类(Some of the hierarchical clustering done by myself, some data sets and some simulation maps are clustered by means of signal entropy features.)
QuanZhi
- 包含两个文件，一个是层次分析法求权值，一个是熵值法求权值(It contains two documents, one is the analytic hierarchy process (AHP), and the other is the entropy method.)
评价模型
- 可以实现对数据的评价的matlab代码，包括层次分析法，熵值法等(Matlab code which can evaluate data, including analytic hierarchy process, entropy method, etc.)
综合评价方法MATLAB实现matlab文件何逢标
- 里面包含多种综合评价方法，如层次分析法、模糊综合评判、基于可拓学的综合评价方法、数据包络分析法、TOPSIS分析法、熵权法以及人工神经网络分析法(It contains many comprehensive evaluation methods, such as analytic hierarchy process, fuzzy comprehensive evaluation, extension-based comprehensiv