Determination of Fetal Health Condition Using Type-2 Fuzzy System
摘要
This paper proposes the diagnosis of the fetal health status using a type-2 fuzzy system. Using input symptoms the type-2 fuzzy rule base for diagnosis fetal health condition is designed. Construction of the rule base is implemented utilizing neural network structure. The structure of type-2 fuzzy neural networks(T2FNN) for diagnosis of fetal health and its design algorithm are presented. Using a designed T2FNN system and statistical data fetal health detection system is constructed. The efficiency of constructed T2FNN system is tested through comparison with other machine learning models utilized to diagnose condition of fetal health. The simulation results prove the efficiency of constructed T2FNN system for diagnosing the condition of fetal health.