MUS designs preference questions using one probabilistic lottery and one deterministic outcome at the maximum utility range point to halve the ambiguity set of utility functions, converging to the true utility under moderate conditions via linear programming.
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Maximum Utility Split Method for Utility Preference Elicitation
MUS designs preference questions using one probabilistic lottery and one deterministic outcome at the maximum utility range point to halve the ambiguity set of utility functions, converging to the true utility under moderate conditions via linear programming.