Development of a Method to Measure the Quality of Working Life Using the Improved Metaheuristic Grasshopper Optimization Algorithm

Table 7

ANFIS results based on the Gaussian membership function and the training gradient descent algorithm with two and three membership functions.

Row	Fuzzy system name	Training algorithm	Membership function type	MAE	RMSE	R^2	Mean MAE	Mean RMSE	Mean R^2
1	POGS	Gradient descent algorithm	Gaussian	3.8129	4.5407	0.9510	4.33	5.60	0.93
				2.6635	3.3045	0.9832
2	FP	Gradient descent algorithm	Gaussian	3.7419	5.0911	0.9462	3.71	4.63	0.97
				3.0903	4.4631	0.9440
3	SHWE	Gradient descent algorithm	Gaussian	4.3917	6.1464	0.8587
				4.6581	5.6852	0.9658
4	SICO	Gradient descent algorithm	Gaussian	4.3155	6.1249	0.8348
				3.0996	3.6505	0.9668
5	LO	Gradient descent algorithm	Gaussian	5.6783	7.0991	0.9365
				4.1208	4.6918	0.9815
6	GLS	Gradient descent algorithm	Gaussian	3.5099	4.2705	0.9871
				3.3579	4.4981	0.9750
7	DHC	Gradient descent algorithm	Gaussian	4.8871	5.9606	0.9729
				4.9693	6.1204	0.9649

Data with two membership functions; data with three membership functions.