TITLE:
Rough Sets for Human Resource Competence Evaluation and Experiences
AUTHORS:
Surayne Torres López, Gilberto Fernando Castro Aguilar, Iliana Pérez Pupo, Pedro Piñero Pérez, Laynier Piedra Diéguez
KEYWORDS:
Rough Sets, Human Resource Competences, Cosine Distance
JOURNAL NAME:
Applied Mathematics,
Vol.7 No.12,
July
26,
2016
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.