Abstract This study comprehensively assesses the performance of 29 Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (GCMs) and their ensemble mean (ENS_MEAN) over Vietnam. The spatiotemporal variability near-surface temperature precipitation is thoroughly evaluated for 30-year historical period 1985–2014. Results show that models can reasonably reproduce observational...

Abstract Artificial Intelligence (AI) as one robust technology has been used in various fields, making innovative society possible and changing our lifestyles. However, the black box problem is still big for artificial intelligence. In this study, we first compared results of kernel Shapley Additive exPlanations (SHAP) machine learning models found that single SHAP model cannot explain at human...

Cross efficiency is one of the useful methods for ranking of decision making units (DMUs) in data envelopment analysis (DEA). Since the optimal solutions of inputs and outputs weights are not unique so the selection of them are not simple and the ranks of DMUs can be changed by the difference weights. Thus, in this paper, we introduce a method for ranking of DMUs which does not have a unique pr...

Accurate estimation of evapotranspiration (ET) is vital for water resource development, planning and management, particularly in the present global warming context. A large number empirical ET models have been developed estimating ET. The main limitations this method are that it requires several meteorological variables an extensive data span to comprehend pattern accurately, which not availabl...