  Performance measurement of robotic controllers based on fuzzy logic,
operating under uncertainty, is a subject area which has been somewhat ignored
in the current literature. In this paper standard measures such as RMSE are
shown to be inappropriate for use under conditions where the environmental
uncertainty changes significantly between experiments. An overview of current
methods which have been applied by other authors is presented, followed by a
design of a more sophisticated method of comparison. This method is then
applied to a robotic control problem to observe its outcome compared with a
single measure. Results show that the technique described provides a more
robust method of performance comparison than less complex methods allowing
better comparisons to be drawn.
