用数据评估西班牙职教项目优劣，帮决策者选好培训方案。
Applying Data Driven Decision Making to rank Vocational and Educational Training Programs with TOPSIS
- 结合毕业生就业数据，用TOPSIS方法多维度评分
- 2009-2016年共分析48个职教项目，给出排名结果
- 新敏感性分析法可识别关键评价指标，适合政策制定者
本文对2009至2016年间西班牙埃斯特雷马杜拉地区的职业与教育项目进行了多准则分类与排名。通过整合完成学业人员的详细信息及其就业数据，构建完整数据库。采用TOPSIS方法进行综合评估，并引入一种新的决策支持方法，用于分析各评价准则的影响及其权重依赖性。该方法基于最差-最好情景分析，与经典的基于皮尔逊相关比率的全局敏感性分析方法进行对比，验证其有效性。
原文摘要 · Abstract (English)
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.
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