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Fuzzy Petri Net Application: Heart Disease Diagnosis
Abstract
Fuzzy Petri net(FPN)[5] an alternate version of
discrete event system(DES) is finding wide range of applications in different fields. The main purpose of the present study is to design Fuzzy Petri Net accompanied with Fuzzy rule based reasoning logic for analyzing the complex heart disease diagnosis. A similar study for heart disease diagnosis was made in V.A Medical centre, Long Beach
and Cleveland clinic through Fuzzy Expert System data base
modeling[1]. Thirteen Petri net input fields and one output field were considered for diagnosis of the presence of heart disease. They claimed that the results obtained from expert system are 94% accurate to the presence of disease. In the present work, we designed a fuzzy Petri net instead of fuzzy expert system and analyze the system through fuzzy rule based reasoning algorithm. The present
study is another alternative for existing methods to distinguish of heart disease presence.
Keywords
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