Architecture of a Fuzzy Expert System Used for Dyslalic Children Therapy
This work addresses therapy personalization for dyslalic children, but it appears incremental as it applies existing fuzzy methods to a specific domain without claiming major breakthroughs.
The paper tackles the problem of providing personalized therapy for dyslalic children by developing a fuzzy expert system architecture that models speech therapist decisions, resulting in a software interface for validation and objectives including personalized therapy, therapist assistance, and teaching capabilities.
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).