Author(s)

Surayne Torres López¹, Gilberto Fernando Castro Aguilar², Iliana Pérez Pupo¹, Pedro Piñero Pérez¹, Laynier Piedra Diéguez³

¹Laboratorio de Investigaciones en Gestión de Proyectos, Facultad 5, Universidad de las Ciencias Informáticas, La Habana, Cuba.
²Facultad de Ingeniería, Universidad de Guayaquil, Guayaquil, Ecuador.
³Centro de Informática Industrial, Universidad de las Ciencias Informáticas, La Habana, Cuba.

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.

Rough Sets, Human Resource Competences, Cosine Distance

López, S. , Aguilar, G. , Pupo, I. , Pérez, P. and Diéguez, L. (2016) Rough Sets for Human Resource Competence Evaluation and Experiences. Applied Mathematics, 7, 1317-1325. doi: 10.4236/am.2016.712116.