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Table 4 Calculated statistical criteria for prediction of total machinery cost/energy using different combination of optimization methods and FIS types

From: Prediction of environmental indicators in land leveling using artificial intelligence techniques

Optimization method Fis type MSE R 2
Min. Ave. Max. Min. Ave. Max.
Cost
Hybrid Mamdani 0.00122 0.00188 0.00387 0.9837 0.9921 0.9949
Sugeno 0.00119 0.00185 0.00394 0.9834 0.9922 0.9950
Back propagation Mamdani 0.00140 0.00251 0.00465 0.9805 0.9894 0.9941
Sugeno 0.00141 0.00250 0.00465 0.9805 0.9895 0.9940
Energy
Hybrid Mamdani 0.00059 0.00121 0.00353 0.9856 0.9950 0.9975
Sugeno 0.00058 0.00120 0.00356 0.9855 0.9952 0.9976
Back propagation Mamdani 0.00077 0.00183 0.00395 0.9839 0.9925 0.9968
Sugeno 0.00080 0.00182 0.00395 0.9839 0.9926 0.9967