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Performance evaluation of employees with multi-granular linguistic information

  • Autores: Rocío Andrés Rodríguez, José Luis García Lapresta Árbol académico, Luis E. Martínez
  • Localización: XXX Congreso Nacional de Estadística e Investigación Operativa y de las IV Jornadas de Estadística Pública: actas, 2007, ISBN 978-84-690-7249-3
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Performance appraisal is a process used by some companies in order to evaluate the efficiency and productivity of their employees. Initially this process was carried out just by the executive staff, but recently it has evolved to an evaluation process based on the opinions of different reviewers, including supervisors, collaborators, customers and employees themselves, i.e., a 360-degree method. It uses information from many appraisers who can truly respond to how an employee performs on the job. In this contribution we propose an evaluation framework in which different groups of reviewers can evaluate employees with linguistic labels.

      In this way, we allow reviewers to use several sets of labels with different granularity according to their knowledge on employees and the criteria to be evaluated. Once it has been defined the framework, we shall introduce a fuzzy model for performance appraisal based on classic processes of decision-making.


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