2009 | OriginalPaper | Chapter
Target-Oriented Decision Analysis with Different Target Preferences
Authors : Hong-Bin Yan, Van-Nam Huynh, Yoshiteru Nakamori
Published in: Modeling Decisions for Artificial Intelligence
Publisher: Springer Berlin Heidelberg
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Decision maker’s behavioral aspects play an important role in human decision making, and this was recognized by the award of the 2002 Nobel Prize in Economics to Daniel Kahneman. Target-oriented decision analysis lies in the philosophical root of bounded rationality as well as represents the
S
-shaped value function. In most studies on target-oriented decision making, monotonic assumptions are given in advance to simplify the problems, e.g., the attribute wealth. However, there are three types of target preferences: “the more the better” (corresponding to benefit target preference), “the less the better” (corresponding to cost target preference), and equal/range targets (too much or too little is not acceptable). Toward this end, two methods have been proposed to model the different types of target preferences: cumulative distribution function (cdf) based method and level set based method. These two methods can both induce four shaped value functions:
S
-shaped, inverse
S
-shaped, convex, and concave, which represents decision maker’s psychological preference. The main difference between these two methods is that the level set based method induces a steeper value function than that by the cdf based method.