The hyper-radial visualisation method for multi-attribute decision-making under uncertainty

In this paper, a new method that enables the visualisation of multi-attribute design problem solutions is presented. The Hyper-Radial Visualisation (HRV) method provides the decision-maker with the ability to perform real-time tradeoff investigations by incorporating weight preferences and uncertainty representations. In these problems, designers must consider potentially complex tradeoff decisions in order to choose a point or set of points with which to proceed. Designers can investigate the performance space under different weights and/or uncertainty conditions through a two-dimensional visual representation. This allows a more informed and efficient method to find promising solutions for the designer, thereby significantly reducing the time required for tradeoff analysis in a complex design process. This paper presents the HRV method, along with the results and discussion of different case problems with varying dimensionalities to demonstrate the method's viability and usefulness.