Description: NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个：
1 确定因素，并建立网络层和控制层模型。
2 创建比较矩阵。
3 按照指标类型针对每列进行规范化。
4 求出每个比较矩阵的最大特征值和对应的特征向量。
5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。
6 将各个特征向量单位化(归一化)，组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘，得到加权超矩阵。
8 将加权超矩阵单位化(归一化)，求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
-NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe Platform: |
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Description: 代码基于Matlab软件，讲述了大量数学方法的应用思路和过程。内容涉及回归分析、主成分分析、因子分析、聚类分析、判别分析、时（空）间序列分析、Markov链、R/S分析、线性规划、层次分析法以及人工神经网络建模等方法。通过模仿本书讲授的计算过程，读者可以加深对有关数学方法的认识和理解，并且掌握很多Matlab的应用技巧。代码规范，可研究价值高。
-Code based on the Matlab software, tells the story of a large number of mathematics method of thinking and process applications.Content in regression analysis, principal component analysis, factor analysis, cluster analysis, discriminant analysis, the (empty) sequence analysis, Markov chains, R/S analysis, linear programming, analytic hierarchy process (ahp) method and artificial neural network modeling, etc.By imitating the calculation process of this book teaches, readers can deepen the understanding and the understanding to the related mathematical methods, and master a lot of Matlab application skills.Code standards, it is with high research value. Platform: |
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Description: 层次分析法，简称AHP，是指将与决策总是有关的元素分解成目标、准则、方案等层次，在此基础之上进行定性和定量分析的决策方法。该方法是美国运筹学家匹茨堡大学教授萨蒂于20世纪70年代初，在为美国国防部研究"根据各个工业部门对国家福利的贡献大小而进行电力分配"课题时，应用网络系统理论和多目标综合评价方法，提出的一种层次权重决策分析方法。该文件中包含了使用MATLAB来实现层次分析法的代码。(Analytic hierarchy process (AHP) is a decision-making method that decomposes the elements that are always related to decision-making into objectives, criteria, schemes and other levels, on which qualitative and quantitative analysis are carried out. In the early 1970s, Sarti, a professor of the University of Pittsburgh, an American operational research scientist, applied the network system theory and the multi-objective comprehensive evaluation method to the research of "power distribution according to the contribution of various industrial sectors to the national welfare" for the US Department of defense, and proposed a hierarchical weight decision analysis method. This file contains the code of using MATLAB to realize AHP.) Platform: |
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Search - Analytic Network Process matlab code