An accurate and general regime identifier is considered an important tool for future real time applications in JET. In this perspective, a traditional approach based on Discriminant Analysis was tested, using various sets of JET real time signals. Unfortunately no combination of signals managed to provide a success rate higher than 90%. To improve the performance and increase the generalisation capability, an identifier based on fuzzy logic was developed, which allowed quite naturally to include also information on the time evolution of the Da, a quantity normally not exploited by more traditional solutions. With this technique a success rate of 95% was achieved using only Da and the derivative of b normalised diamagnetic as inputs. A Support vector Machines approach, based again on a suitably defined distance like Discriminant Analysis, provided slightly inferior results with exactly the same inputs but matched the fuzzy logic method with the inclusion of the absolute value of b normalised diamagnetic. This comparative performance assessment of the various methods is an important first step on the route to identify the best solution for a regime identifier for JET and in perspective for ITER.