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Fuzzy Expert System for Tropical Infectious Disease Diagnosis by Certainty Factor

Author(s): I ketut Gede Darma Putra | Putu Manik Prihatini

ISSN 1693-6930

Volume: 10;
Issue: 4;
Start page: 825;
Date: 2012;
Original page

Keywords: fuzzy expert system

Communication between doctor and patient play an important role in determining the diagnosis of the illness suffered by the patient. Consultation time constraints led to insufficient information obtained to produce a diagnosis. This limitation is overcome by developing an expert system using fuzzy logic to represent the vagueness of symptoms experienced by patients and the certainty factor represents a relationship between the symptoms and disease. Knowledge acquisition generate a knowledge base include the fact and rules with certainty factor value of the expert. Implication, composition and defuzzification are used in the process of fuzzy reasoning, and the results are combining with certainty factor. Web-based expert system is equipped with workplace, explanation facility and knowledge improvement. The results of expert diagnosis and web-based expert system diagnosis show the system, has similarity with the expert at 93.99%.
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