INTELLISAT FEASIBILITY STUDY

 

 

       Prepare Utility Functions

 

 

 


Although not necessary for every feasibility study application, utility curves are a good technique for translating diverse criteria to a common scale. In cases where an attribute is difficult to quantify or measure, the evaluation might establish a ratio scale or use the analytic hierarchy process to establish a relative scale for utility values.

The ratio and relative scaling approaches identify the "best" alternative through a structured comparison of alternatives. These approaches are most valuable in considering non-technical parameters (such as cost, development time, political saleability) where only subjective (high, medium, low) evaluation is possible.

For example, if safety was an essential feasibility study criterion, it could be included as a relatively scaled attribute using a paired comparison process and scaling methodology.
 
Utility curves for a given feasibility study must use consistent scales (e.g., between 0 and 1) so as not to inadvertently weight the scores. These models also must assume the independence of criteria. The "zero point" of each curve indicates the level of performance which no longer provides value to system performance or effectiveness.

Graphic utility curves are not necessary for every criterion. Where linear relationships are assumed between utility and performance, simple tables can be established. Tabular scoring plans could replace graphic charts for any criterion; however, some fixed plan for scoring performance evaluations must be established before the evaluations are conducted.

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