Greco, S., Matarazzo, B. and Slowinski, R. (1997) Similarity Relation as a Basis for Rough Approximations. In: Polkowski, L., Ed., Rough Sets and Current Trends in Computing, Springer, Berlin, 60-67.

has been cited by the following article:

• 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.