Fuzzy Clustering in an Intelligent Agent for Diagnosis Establishment
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 mainl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Editura Universităţii "Petru Maior"
2009-12-01
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| Series: | Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș |
| Subjects: | |
| Online Access: | http://scientificbulletin.upm.ro/papers/2009/10/Fuzzy-Clustering-in-an-Intelligent-Agent-for-Diagnosis-Establishment.pdf |
| Summary: | 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. |
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| ISSN: | 1841-9267 2285-438X |