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Ahp decision matrix weight
Ahp decision matrix weight












  1. #Ahp decision matrix weight how to
  2. #Ahp decision matrix weight pdf

(2006) Analytic Hierarchy Process (AHP) Tutorial. Preferable reference for this tutorial is

#Ahp decision matrix weight pdf

Read this tutorial in a nice PDF format, clickĭo you have question regarding this AHP tutorial? Ask your question here different importance weight, the weighting decision matrix shown in Table 4 is. Table 9: Paired comparison matrix level 1 with respect to the goal that combines the AHP (Analytic Hierarchy Process) and the TOPSIS. The diagonal is always 1 and the lower triangular matrix is filled using formula The yellow color cells in upper triangular matrix indicate the parts that you can change in the spreadsheet. Suppose we have comparison matrix at level 1 as table below.

#Ahp decision matrix weight how to

Click here if you do not remember how to make a comparison matrix from paired comparisons. Data envelope analysis (DEA) is used in this paper to generate local weights of alternatives from pair-wise comparison judgment matrices used in the analytical. However, in this particular example, you will see that some weight of level 2 matrices are too small to contribute to overall decision, thus we can ignore them.īased on questionnaire survey or your own paired comparison, we make several comparison matrices. Because each choice is connected to each factor, and you have 3 choices and 4 factors, then in general you will have 4 comparison matrices at level 2. Thus, the comparison matrix of level 1 has size of 4 by 4. A W E, where denotes the Hadamard product, W wij n n is the matrix of weight ratios, and E ij n n is the perturbation matrix, where ij ji. In level 1 you will have one comparison matrix corresponds to pair-wise comparisons between 4 factors with respect to the goal. Decision Making by AHP and ANP - Free download as Powerpoint Presentation (.ppt), PDF File (.pdf), Text File (.txt) or view presentation slides online. The lines between levels indicate relationship between factors, choices and goal. You can see again Table 1 for several examples of Goals, factors and alternative choices. The last level (level 2 in figure above) is the alternative choices. You can also add several other levels of sub criteria and sub-sub criteria but I did not use that here. Level 1 is multi criteria that consist of several factors. The structure of hierarchy in this example can be drawn as the following In this section, I show an example of two levels AHP.

ahp decision matrix weight

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Ahp decision matrix weight