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    STUDIA INFORMATICA - Issue no. 2 / 2010  
         
  Article:   FUZZY CLUSTERING IN AN INTELLIGENT AGENT FOR DIAGNOSIS ESTABLISHMENT.

Authors:  .
 
       
         
  Abstract:  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 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 they are examining. We used fuzzy c-means clustering to assign symptoms to the different types of aphasia categories. The results were compared with the results in some subtests of the Aachen Aphasia Test (AAT).

Key words and phrases. Fuzzy clustering, Fuzzy systems, Expert Systems, Uncertainty.
 
         
     
         
         
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