3. (20 points) Apply AHP to the remainder of HW1a and compare the resulting total scores of the 3 candidate computers with the normalized values of the scores you obtained in HW1a, and discuss the differences and any insights gained.

the information:

Here first we choose the option in which the computer are best at some attributes get penalized just because they are lagging in some other attributes. For example, computer 3 is best in 'Affordability' criteria but due to other criteria it turned out worst.

Thus, the solution could be:

1) Take different decisions based on required criteria instead of selecting all criteria at a time

2) Do the sampling and test for their significant differences in the ratings based on Friedman test (non-parametric test for ANOVA. Then decide, if really C1 is best option.

From the above numrical statistics, we see that,

Choice with the highest total score, i.e., Computer 1, is then the best.

Value and Weight Affordability 0.6 Quality0.3 Style 0.1 Total score (weighted average) 5.1 (0.340) 4.9 (0.327) 5.0 (0.333) Computer 1 Computer 2 Computer 3 3 (0.200) 5 (0.333)7 (0.467) 8 (0.534 5 (0.333)2 (0.133) 9 (0.6004 (0.267)2 (0.133) Value and Weight Affordability 0.6 Quality0.3 Style 0.1 Total score (weighted average) 5.1 (0.340) 4.9 (0.327) 5.0 (0.333) Computer 1 Computer 2 Computer 3 3 (0.200) 5 (0.333)7 (0.467) 8 (0.534 5 (0.333)2 (0.133) 9 (0.6004 (0.267)2 (0.133)