Fuzzy-logic based multi-site crop model evaluation in europe

It is agreed that the aggregation of metrics of different nature into integrated indicators offers a valuable way to assess models (Bellocchi et al., 2010). A composite indicator (MQIm: Model Quality Indicator for multi-site assessment) was elaborated on metrics commonly used to evaluate simulation models, and on recent concepts of model evaluation integrating sensitivity analysis and robustness measures, as well as information criteria for model selection and expert judgments on the importance of different metrics.