Abstract
The evaluation of labor competences is an important activity for proper management of human resources. To assess labor competences, different techniques have been proposed, but these proposals represent invasive mechanisms so that its implementation affects the efficiency of the project, and do not store the experiences for further processing. The aim of this paper is to propose two alternative algorithms to recover the evidences of performance of human resources by identifying their relationship with labor competences, using rough sets and text distance. The experimental application of the algorithms demonstrated efficiency levels in line with the human evaluators and efficiency improvement in the evaluation process, compared with methods like 360 degrees.
Highlights
The evaluation of labor competencies is an important activity for proper management of human resources
The aim of this paper is to propose two alternative algorithms to recover the evidences of performance of human resources by identifying their relationship with labor competences, using rough sets and text distances
As a conclusion of the above tables: the algorithm based on Rough Sets + CBR got better results, the algorithm error is small for the case and the benefits associated to efficiency are satisfactory
Summary
The evaluation of labor competencies is an important activity for proper management of human resources. It depends on the successful completion of other activities such as recruitment, training, performance evaluation, promotion, compensation and training [1]. (2016) Rough Sets for Human Resource Competence Evaluation and Experiences. It is necessary to support important activities such as labor competences assessment, to be performed with agility and ease by team members and project managers [4] [5]
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