In this paper we present a multi-criteria classification of Vocational and Educational Programs in Extremadura (Spain) during the period 2009–2016. This ranking has been carried out through the integration into a complete database of the detailed information of individuals finishing such studies together with their labor data. The multicriteria method used is TOPSIS together with a new decision support method for assessing the influence of each criterion and its dependence on the weights assigned to them. This new method is based on a worst-best case scenario analysis and it is compared to a well known global sensitivity analysis technique based on the Pearson's correlation ratio.

在本文中，我们介绍了2009-2016年期间埃斯特雷马杜拉（西班牙）职业教育计划的多标准分类。该排名是通过将完成此类研究的个人的详细信息及其劳动数据集成到完整的数据库中而得出的。所使用的多准则方法是TOPSIS，还有一种新的决策支持方法，用于评估每个准则的影响及其对分配给它们的权重的依赖性。该新方法基于最坏情况场景分析，并且与基于Pearson相关率的众所周知的全局灵敏度分析技术进行了比较。