Targeting in Multi-Criteria Decision Making
DOI:
https://doi.org/10.1609/aaai.v40i43.40998Abstract
In this work, we introduce the notion of targeting for multi-criteria decision making. The problem involves 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.Downloads
Published
2026-03-14
How to Cite
Schwind, N., Everaere, P., Konieczny, S., & Lonca, E. (2026). Targeting in Multi-Criteria Decision Making. Proceedings of the AAAI Conference on Artificial Intelligence, 40(43), 36732–36739. https://doi.org/10.1609/aaai.v40i43.40998
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Section
AAAI Technical Track on Reasoning under Uncertainty