A multi-granular linguistic model for management decision-making in performance appraisal

Authors:
Rocío de Andrés;José Luis García-Lapresta;Luis Martínez
Affiliations:
University of Valladolid, PRESAD Research Group, Departamento de Fundamentos del Análisis Económico e Historia e Instituciones Económicas, 47011, Valladolid, Spain;University of Valladolid, PRESAD Research Group, Departamento de Economía Aplicada, 47011, Valladolid, Spain;University of Jaén, Department of Computer Science, 23071, Jaén, Spain
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Year:
2009

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Abstract

The performance appraisal is a relevant process to keep and improve the competitiveness of companies in nowadays. In spite of this relevance, the current performance appraisal models are not sufficiently well-defined either designed for the evaluation framework in which they are defined. This paper proposes a performance appraisal model where the assessments are modelled by means of linguistic information provided by different sets of reviewers in order to manage the uncertainty and subjectivity of such assessments. Therefore, the reviewers could express their assessments in different linguistic scales according to their knowledge about the evaluated employees, defining a multi-granular linguistic evaluation framework. Additionally, the proposed model will manage the multi-granular linguistic labels provided by appraisers in order to compute collective assessments about the employees that will be used by the management team to make the final decision about them.