Enter the starting and ending value of the parameter selected for the range where sensitivity is to be plotted.
3) Enter the starting and ending value of the parameter selected for the range where sensitivity is to be plotted.
4) Enter the number of steps - (don’t get carried away - about 10 to 20 is adequate). The calculations can get huge if you have selected too many dependent variables and have asked for lots of steps.
At any particular experiment, the values for the dependent variables and the alternatives are shown below the graph. You may also elect to have the corresponding values of other parameters shown by selecting the Extra Params command on the Sensitivity Analysis Edit menu. Exporting Sensitivity Data To export the data points of the sensitivity plot to Excel, select
Exporting Sensitivity Data To export the data points of the sensitivity plot to Excel, select File Save from the Sensitivity Analysis menu. Use a name ending in .txt when asked for a file name. Then load Excel, select the File, Open command and open the file. Be sure to change the type of file to *.* to display names of all files so the .txt file will show up. The Excel import wizard will then come up. Step through it selecting OK or Next to Finish at the end. The Excel spreadsheet containing the sensitivity data points will then appear. You can use it then for displaying the data in more ways and for data manipulation - such as arranging one of the alternative columns in decreasing order, so you can see the maximum value obtained.
The goal is the parent node of the criteria and they comprise one of the comparison groups in this model. The criteria will be pairwise compared with respect to the goal. The pairwise comparison judgments are made using the Fundamental Scale of the AHP and the judgments are arranged in a matrix, the pairwise comparison matrix.
The numbers in the cells in an AHP matrix, by convention, indicate the dominance of the row element over the column element; a cell is named by its position (Row, Column) with the row element first then the column element. In the AHP pairwise comparison matrix below the (Price, MPG) cell has a judgment of 3 in it, meaning Price is 3 times as important as Miles Per Gallon (MPG). So logically this means MPG has to be 1/3 as important as Price so 1/3 is automatically entered in the (MPG, Price) cell.
Only the judgments in the unshaded area need to be made and entered because the inverse of a judgment, for example, (Price, MPG) is automatically entered in its transpose cell (MPG, Price). The diagonal elements are always 1, because an element equals itself in importance.
Only judgments in the unshaded area need to be made and entered. There will be 6 judgments required for these 4 elements. If the number of elements is n the number of judgments is n(n-1)/2 to do the complete set of judgments. It is possible to make less than this number of judgments and obtain a rough estimate, but there must be a minimum of n -1 judgments.
AHP Pairwise Comparison Matrix
GOAL Prestige Price
MPG
Comfort
Prestige