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Elicitation of decision parameters for thermal comfort on the trains

We present in this paper a real world application for the elicitation of decision parameters used in the evaluation of thermal comfort in high speed trains. The model representing the thermal comfort is a hierarchical one and we propose to use different aggregation methods for different levels of the model. The methods used are rule-based aggregation, Electre Tri and 2-additive Choquet. We show in this paper the reasons of the choice of such methods and detail the approach used for the elicitation of the parameters of these methods.