  In this paper we present architecture of a fuzzy expert system used for
therapy of dyslalic children. With fuzzy approach we can create a better model
for speech therapist decisions. A software interface was developed for
validation of the system. The main objectives of this task are: personalized
therapy (the therapy must be in according with child's problems level, context
and possibilities), speech therapist assistant (the expert system offer some
suggestion regarding what exercises are better for a specific moment and from a
specific child), (self) teaching (when system's conclusion is different that
speech therapist's conclusion the last one must have the knowledge base change
possibility).
