Progress in the development of a 2D Feature Selective Validation (FSV) method

The feature selective validation (FSV) technique is becoming a favored approach to quantifying the comparison of numerical and / or experimental data for validation purposes. It is a heuristic approach and, therefore, has scope for developments, enhancements and refinements from researchers particularly interested in formal validation, particularly of computational electromagnetics. One area that is clearly ripe for development is in extending the current dasiaFSVpsila FSV approach to two or more independent axes, for example to compare surface currents over a whole body. As the central tenet of FSV is to mirror the perceptions of a group of experts, higher levels of dimensionality provide substantial challenges for calibration. However, a first step in this development is gaining experience and understanding of the quantification of multidimensional data. Building on previous work, this paper concludes with a set of recommendations for the full development of two dimensional FSV.