Review of Empirical Studies in Multiobjective Mathematical Programming: Subject Reflection of Nonlinear Utility and Learning

摘要: Multiple objective programming provides a means of aiding decision makers facing complex decisions where trade-offs among conflicting objectives must be reconciled. Interactive multiobjective for to learn what these involve, while the mathematical program generates solutions that seek improvement implied utility maker. A variety techniques have been presented in multicriteria decision-making literature. This study reviews published studies with human subjects some were applied. While all ability support under conditions multiple objectives, number features applying systems tested by studies. general evolution is traced, starting methods relying upon linear combinations value, more recent capable reflecting nonlinear value. Support and enhancing decision-maker learning are considered.