Knowledge Base of an Expert System Used for Dyslalic Children Therapy

TL;DR

This paper presents a fuzzy expert system with a knowledge base of over 150 rules designed to assist speech therapy for dyslalic children, formalized from natural language therapy guides.

Contribution

It introduces a formalized fuzzy logic-based expert system for speech therapy, integrating natural language guides into a structured knowledge base.

Findings

Knowledge base contains over 150 rules and 19 linguistic variables

System validation demonstrates effective support for speech therapy

Formalization enhances consistency and usability of therapy guidelines

Abstract

In order to improve children speech therapy, we develop a Fuzzy Expert System based on a speech therapy guide. This guide, write in natural language, was formalized using fuzzy logic paradigm. In this manner we obtain a knowledge base with over 150 rules and 19 linguistic variables. All these researches, including expert system validation, are part of TERAPERS project.