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Our study emphasized on SESA of criteria weight.
They used analytic hierarchy process (AHP) to determine each criteria weight and the arrangement of importance.
The compromise solutions could be the basis for agreements, involving the decision maker's preferences by criteria weight.
Therefore, each criteria weight runs from 0.05 to 1.00 as long as the sum of all criteria weights in the experiment is equal to 1.
The method can estimate criteria weight sensitivity by changing the relative importance scales between criteria in an AHP pairwise comparison matrix (PCM).
This goes a long way to explain why quality accounts for one-third of the entire criteria weight while the other nine criteria account for two-thirds.
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Data entry and criteria weighting 5.
Table 5 Criteria weights Criteria Weights Reliability 35 Cost 40 Downtime 25.
Criteria weights reflect the subjective relative importance of the criteria.
This applies eminently regarding criteria weighting and result interpretation.
Figure 4 Probability density estimates of decision criteria weights.
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