Fuzzy Expert System for Tropical Infectious Disease by Certainty Factor
Abstract: 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. Fuzzy logic method
begins with the acquisition of knowledge to produce the facts and rules,
implication process, composition and defuzzification. The result of
defuzzification used in the calculation of sequential and combined certainty
factor which represent the belief percentage of diseases diagnosis that
suffered by the patient. The results of the expert diagnosis with expert system
for the given cases indicates the system, has the similarity diagnosis with the
expert at 93.99%.
Author: I Ketut Gede Darma
Putra, Putu Manik Prihatini
Journal Code: jptkomputergg120113
