Table 2: Investigated homogeneous and heterogeneous ensemble models.

Ensemble type Base learner(s) Combination typeCombination ruleAbbreviation

HomogeneousMLPLinearAveragingHM-MLP-[Avg]
Weighted averagingHM-MLP-[WtAvg]
NonlinearMLPHM-MLP-[MLP]
SVRHM-MLP-[SVR]
FIS-FCMHM-MLP-[FIS-FCM]
FIS-SCHM-MLP-[FIS-SC]
ANFIS-FCMHM-MLP-[ANFIS-FCM]
ANFIS-SCHM-MLP-[ANFIS-SC]
SVRLinearAveragingHM-SVR-[Avg]
Weighted averagingHM-SVR-[WtAvg]
NonlinearMLPHM-SVR-[MLP]
SVRHM-SVR-[SVR]
FIS-FCMHM-SVR-[FIS-FCM]
FIS-SCHM-SVR-[FIS-SC]
ANFIS-FCMHM-SVR-[ANFIS-FCM]
ANFIS-SCHM-SVR-[ANFIS-SC]
ANFISLinearAveragingHM-ANFIS-[Avg]
Weighted averagingHM-ANFIS-[WtAvg]
NonlinearMLPHM-ANFIS-[MLP]
SVRHM-ANFIS-[SVR]
FIS-FCMHM-ANFIS-[FIS-FCM]
FIS-SCHM-ANFIS-[FIS-SC]
ANFIS-FCMHM-ANFIS-[ANFIS-FCM]
ANFIS-SCHM-ANFIS-[ANFIS-SC]

HeterogeneousMLP, SVR, and ANFISLinearAveragingHT-(MLP, SVR, ANFIS)-[Avg]
Weighted averagingHT-(MLP, SVR, ANFIS)-[WtAvg]
NonlinearMLPHT-(MLP, SVR, ANFIS)-[MLP]
SVRHT-(MLP, SVR, ANFIS)-[SVR]
FIS-FCMHT-(MLP, SVR, ANFIS)-[FIS-FCM]
FIS-SCHT-(MLP, SVR, ANFIS)-[FIS-SC]
ANFIS-FCMHT-(MLP, SVR, ANFIS)-[ANFIS-FCM]
ANFIS-SCHT-(MLP, SVR, ANFIS)-[ANFIS-SC]