An adaptive questioning procedure for eliciting PROMETHEE IIs weight parameters CoDE-SMG – Technical Report Series
نویسندگان
چکیده
For most decision making problems, finding representative parameters of a decision maker’s preferences remains a challenging task. We here adapt to the Promethee II outranking method an eliciting procedure named Q-Eval that has been developed in the context of multi-attribute utility. It refines the estimation of the preference parameters by iteratively querying the DM through pairwise action comparisons. After formalising an extension of this method to two other types of queries: (i) selection from an action sub-set; (ii) ranking of a sub-set of actions, we propose an adaptive query selection scheme that presents to the DM the most discriminating query type at each step of the process. Simulation results show that this approach improves the efficiency of the eliciting phase in terms of convergence speed.
منابع مشابه
SMAA-GAIA: A Complementary Tool of the SMAA-PROMETHEE Method CoDE-SMG – Technical Report Series
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