The local statistical approach for fault detection and isolation is applied to fuzzy models
validation. The method detects the inconsistencies between a fuzzy rule base and the
modelled system. It can also identify which are the faulty parameters of the fuzzy model. The
Fisher information matrix explains the detectability of changes in the parameters of the fuzzy
model. Simulation tests illustrate the method's credibility.