[Sample B: Approval/Signature Sheet] - George Mason University
[Sample B: Approval/Signature Sheet] - George Mason University
[Sample B: Approval/Signature Sheet] - George Mason University
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A2.4 Endurance ranged from 0 to 5, the increase in utility from swinging from the worst<br />
to the best level would be smaller, probably resulting in a small weight for this<br />
attribute. 113 Therefore, the DM was reminded that his judgment should always consider<br />
the ranges of each attribute being assessed.<br />
To assess the weights of the fundamental objectives, a similar procedure was<br />
used, but the ranges were always between 0 and 1, since they are measured by their<br />
respective utility functions.<br />
When the multiplicative utility function was applicable, it was needed to define<br />
the parameter k, which represents the interaction among all attributes that are part of that<br />
particular utility function.<br />
This step was accomplished using the software LDW, which provides a tool to<br />
calculate the value of k. This feature consists of a comparison between lotteries 114 called<br />
probability method (see fig. 32).<br />
Figure 32. LDW Probability Method Example. 115<br />
113 Keeney and Raiffa, Decisions with Multiple Objectives, 272-273.<br />
114 Ibid., 240.<br />
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