Hyper-radial visualization for multi-objective decision-making support under uncertainty using preference ranges: The PRUF method

In this paper, the Preference Range and Uncertainty Filtering (PRUF) Method is proposed for visualizing multi-attribute design problem solutions under uncertainty. This method enables decision makers to perform real-time trade-off investigations by incorporating preference ranges and uncertainty at the input level. In a real world case, designers must consider potentially complex trade-off decisions in order to choose a point or set of points with which to proceed. By using the PRUF method, designers can investigate the performance space under different preference/uncertainty conditions. This allows a more informed and efficient way to find promising solutions for each decision maker, thereby significantly reducing the time required for trade-off analysis in a complex design process. In this paper, an eight objective problem is presented to demonstrate the incorporation of user preferences and uncertainty definition.