Type-2 Fuzzy Neural System for Diagnosis of Diabetes

Table 6

Comparative results of different models using Pima datasets (768 data samples).

Authors	Methodology	Accuracy
Choubey and Paul [3]	MLP NN	0.79
Polat et al. [8]	SVM	0.79
Beloufa and Fayssal [19]	Artificial bee colony	0.84
Bashir et al. [43]	HM-BagMoov	0.86
Bozkurt et al. [44]	ANN	0.76
Tand and Tseng [45]	Genetic algorithm	0.81
Aslam et al. [46]	3-step genetic programming	0.87
Nabi et al. [47]	4 machine learning combinations	0.80
Maniruzzaman et al. [48]	Quadratic discriminant analysis	0.82
Mercaldo et al. [49]	Deep learning	0.77
Rabina and Chopra [50]	Multi-layer perceptron	0.77
Sreedevi and Padmavathamma [51]	Genetic algorithm	0.72
Sa’di et al. [52]	Naïve Bayes	0.76
Current research	T2FNN (32 rules)	0.87
Current research	T2FNN (80 rules)	0.969
Current research	T2FNN (100 rules)	0.991