Abstract
This study applies Artificial Intelligence techniques to analyse the results obtained in different tests to assess the skills of high qualified personnel as engineers, pilots, doctors, dentists, etc. Several Exploratory Projection Pursuit techniques are successfully applied to a novel and real dataset for the assessment of personnel skills and to identify weaknesses to be improved in a later phase. These techniques reduce the complexity of the evaluation process and allow identifying the most relevant aspects in the personnel training in an intuitive way, enhancing the particular training process and thus, the human resources management as a whole and saving training costs.
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Quintián, H. et al. (2014). Soft Computing Techniques for Skills Assessment of Highly Qualified Personnel. In: Herrero, Á., et al. International Joint Conference SOCO’13-CISIS’13-ICEUTE’13. Advances in Intelligent Systems and Computing, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-01854-6_68
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DOI: https://doi.org/10.1007/978-3-319-01854-6_68
Publisher Name: Springer, Cham
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