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[Sample B: Approval/Signature Sheet] - George Mason University

[Sample B: Approval/Signature Sheet] - George Mason University

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―If z is held fixed through at z 0 , what is your certainty equivalent for a 50-50<br />

gamble yielding values y1 and y2, say? Let us suppose the answer is y^.‖ 68<br />

Next, the following question is asked:<br />

―If z were held fixed at some other fixed value, say z’, would your certainty<br />

equivalent shift?‖ 69<br />

If the answer is no, then utility independence holds. The inverse procedure must<br />

also be done in order to check if Z is UI from Y. If they are, the utility function for Z can<br />

be defined without worrying about dependence on y.<br />

All cases are possible: neither holds, one holds without the other, nor both hold.<br />

When both attributes are UI, they are Mutually Utility Independent (MUI).<br />

―Definition: Attributes Y and Z are additive independent (AI) if the paired<br />

comparison of any two lotteries, defined by two joint probability distributions on Y x Z,<br />

depends only on their marginal probability distributions.‖ 70<br />

An equivalent condition for Y and Z to be additive independent can be represented<br />

by the lotteries in figure 8, which must be indifferent to the DM, for all (y, z) given an<br />

arbitrarily chosen y’ and z’.<br />

0.5 (y, z)<br />

0.5<br />

L1 ≡ and L2 ≡<br />

0.5 (y’, z’)<br />

0.5<br />

Figure 8. Additive Independence Assessment. 71<br />

68 Ibid.<br />

69 Ibid.<br />

70 Keeney and Raiffa, Decisions with Multiple Objectives, 230.<br />

31<br />

(y, z’)<br />

(y’, z)

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