Targeting in Multi-Criteria Decision Making
Nicolas Schwind, Patricia Everaere, Sébastien Konieczny, Emmanuel Lonca
Abstract
In this work, we introduce the notion of targeting for multicriteria decision making. The problem consists in selecting the best alternatives related to one particular alternative, called the target. We use an axiomatic approach to this problem by establishing properties that any targeting method should satisfy. We present a representation theorem and show that satisfying the main properties of targeting requires aggregating the evaluations of the alternatives related to the target. We propose various candidate targeting methods and examine the properties satisfied by each method.
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