Fuzzy Systems

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Fuzzy Petri Net Application:Heart Disease Diagnosis


Affiliations
1 Department of CSE and IT, Synergy Institute of Engineering and Technology, Dhenkanal, Odisha, India
     

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Fuzzy Petri net (FPN) 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. 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.
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  • Fuzzy Petri Net Application:Heart Disease Diagnosis

Abstract Views: 289  |  PDF Views: 2

Authors

Shradhanjali Rout
Department of CSE and IT, Synergy Institute of Engineering and Technology, Dhenkanal, Odisha, India

Abstract


Fuzzy Petri net (FPN) 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. 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.