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Logical Decisions - Classweb

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Figure 9-5 summarizes the process of SUF assessment using the<br />

mid-level splitting method. In box 1, the decision maker is asked<br />

which change is more preferred, one from 80 to 110 hp or one<br />

from 110 to 180 hp.<br />

In box 2, the decision maker answers that the changes are equally<br />

preferred. This implies that 110 is the mid-preference level for the<br />

range from 80 to 180 hp.<br />

In box 3, we assign utilities to the three levels. the least preferred<br />

level of 80 hp is assigned U = 0 by definition. The most preferred<br />

level 180 is assigned U = 1, also by definition. The mid-preference<br />

level of 110 is assigned the average of the two other utilities or U =<br />

0.5.<br />

In box 4, a graph of utility vs. horsepower is shown with a smooth<br />

curve fit between the three known points. This curve defines a<br />

SUF for horsepower for the range 80 to 160 hp.<br />

Note that technically a preference function assessed using the<br />

mid-level splitting technique should be called a measurable value<br />

function rather than a utility function.<br />

Disadvantages of the Mid-level Splitting Method. The midlevel<br />

splitting method is difficult to use if your measure scale is<br />

not continuous. For example, if a measure consists of, say, five<br />

specially defined scale points, it may not be the case that one<br />

point is the mid-preference level between two others. In addition,<br />

the requirement of using changes in levels rather than the levels<br />

directly is difficult for some decision makers. If either of these<br />

problems arises it may be easier to use the probability method<br />

described below.<br />

SUF Assessment Using Probabilities. The second approach for<br />

assessing SUFs involves asking questions that involve uncertain<br />

levels of the measure for some hypothetical alternatives. The<br />

probability assessment method is implemented in LDW as the<br />

SUF::Assess Utility option.<br />

The general idea is to find an alternative with a certain (point<br />

estimate) level on a measure that is equally preferred to an<br />

alternative with well-defined probabilities of having two different<br />

levels, each of whose utilities is known.<br />

As an example, we will use the resale value of the truck after<br />

three years (as a percentage of its purchase price). We could<br />

9-22 Section 9 -- In Depth

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