Visualizations for decision support in scenario-based multiobjective optimization

We address challenges of decision problems when managers need to optimize several conflicting objectives simultaneously under uncertainty. propose visualization tools support the solution such scenario-based multiobjective optimization problems. Suitable graphical visualizations are necessary in understanding, evaluating, and comparing performances management decisions according all plausible scenarios. To date, no appropriate has been suggested. This paper fills this gap by proposing two methods: a novel extension empirical attainment functions for scenarios an adapted version heatmaps. They help decision-maker gaining insight into realizations trade-offs comparisons between objective different Some fundamental questions that may wish answer with also identified. Several examples utilized illustrate how proposed evaluating solutions be able make robust answering questions. Finally, we validate usefulness real-world problem real decision-maker. conclude guidelines regarding which best suited classes.