Architecture of a Fuzzy Expert System Used for Dyslalic Children Therapy

TL;DR

This paper introduces a fuzzy expert system architecture designed to assist in the therapy of dyslalic children, aiming to personalize treatment and support speech therapists with decision-making tools.

Contribution

It presents a novel fuzzy expert system architecture with a software interface for therapy personalization, decision support, and adaptive learning in speech therapy for children.

Findings

System enables personalized therapy based on child's level and context

Provides decision support to speech therapists with exercise suggestions

Allows knowledge base updates when system and therapist conclusions differ

Abstract

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).