Incremental Learning of Simple Ranking Method Using Reference Profiles Models

In this article we study several heuristics for selecting pairs of alternatives that a decision maker must compare during an incremental preference elicitation process of the Simplified Ranking based on Multiple reference Profiles (SRMP) model. This work is motivated by a real-world context in which a SRMP model has been integrated in the on-board system of an Unmanned Aerial Vehicle (UAV), and where an off-line preference elicitation process is performed with the operator (or decision maker in this case) before the mission. Our goal is therefore to determine a heuristic, with respect to various problem characteristics, that leads as quickly as possible to a good-enough representation of the decision maker’s real preferences, in order to minimize his / her cognitive effort.

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