Applying data driven decision making to rank vocational and educational training programs with TOPSIS

Abstract 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.

• Publication year

  2020

• Venue

  Decision Support Systems

• Publication date

  2020-12-08

• Fields of study

  Computer Science, Economics, Mathematics, Business, Education

• Identifiers
  DOI 10.1016/j.dss.2020.113470arXiv 2411.00017
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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