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KPCA
- 为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 -PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component An
PCA
- 光谱空间的主成分分析 PCA ：旨在利用降维的思想，把多指标转化为少数几个综合标。-Principal component analysis of spectral space PCA: dimension reduction ideas to use to index into a few more comprehensive standard.
main
- 客观自主式评价法程序,j适用于多指标综合评价，无用主观赋权-the main process of objective self-determined evaluating method
HTF
- 三角模糊数综合评价的算例。利用三角模糊数，综合多个评价指标，进行综合排序-Triangular Fuzzy Number comprehensive uation studies. Use triangular fuzzy numbers, integrated multiple criteria, a comprehensive sort
TOPSIS
- topsis综合评价，能够根据多个指标确定各个案例的贴近度，从而进行评价分类(TOPSIS comprehensive evaluation can determine the closeness degree of each case according to a number of indexes, so as to evaluate and classify)
物元分析法（matlab）
- 物元分析法由我国数学家蔡文在 20 世纪 80 年代提出． 应用物元法建立多指标评价模型，可以针对复杂问题建立形象化模型，定量化得出评价结果，从而较完整、准确地反映事物的综合水平。利用matlab编程，进行如下步骤计算：1、待判物元的确定；2、经典域、节域的确定；3、关联函数；4、综合关联度(Matter-element analysis method was put forward by Chinese mathematician Cai Wen in 1980's. Applying mat