Fuzzy Clustering in an Intelligent Agent for Diagnosis Establishment

• Main Authors: Zdrenghea Vlad, Iuliu Hategan, Man Diana Ofelia, Tosa-Abrudan Maria
• Format: Article
• Language: English
• Published: Editura Universităţii "Petru Maior" 2009-12-01
• Series: Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș
• Subjects: fuzzy clustering; medical diagnostics systems
• Online Access: http://scientificbulletin.upm.ro/papers/2009/10/Fuzzy-Clustering-in-an-Intelligent-Agent-for-Diagnosis-Establishment.pdf

In this paper we present a way to use fuzzy clustering for generating fuzzy rule bases in the implementation of an intelligent agent that interacts with human for diagnosis establishment: The (Psychiatric) Medical Diagnostics System. The system is intended to be a software learning application mainly destined to orientate the resident doctors in the process of establishing a diagnostic for the patients theyare examining.Learning techniques have been used for clustering and to form the premise portion of the If-Then rules. The general idea is to generate a set of fuzzy rules that not only best describe the data at hand but also are robust enough to show good generalization capabilities.