Affiliation:
1. Lovely Professional University, India
Abstract
In this chapter, the neuro-fuzzy technique has been used for the diagnosis of different types of diabetes. It has been reported in the literature that triangular membership functions have been deployed for Mamdani and Sugeno fuzzy expert systems that have been used for diagnosis of different types of diabetes. The Gaussian membership functions are expected to give better results. In this context, Gaussian membership functions have been attempted in the neuro-fuzzy system for the diagnosis of different types of diabetes in the research work, and improved results have been obtained in terms of different parameters like sensitivity, specificity, accuracy, precision. Further, for the comparative study, the dataset used for neuro-fuzzy expert system developed in this research work has been considered on Mamdani fuzzy expert system as well as Sugeno fuzzy expert system, and it has been confirmed that the result parameters show better values in the proposed model.
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