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A multi-granular linguistic model for management decision-making in performance appraisal
Authors:Rocío de Andrés  José Luis García-Lapresta  Luis Martínez
Affiliation:(1) PRESAD Research Group, Departamento de Fundamentos del Análisis Económico e Historia e Instituciones Económicas, University of Valladolid, 47011 Valladolid, Spain;(2) PRESAD Research Group, Departamento de Economía Aplicada, University of Valladolid, 47011 Valladolid, Spain;(3) Department of Computer Science, University of Jaén, 23071 Jaén, Spain
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.
Keywords:Performance appraisal  Multi-criteria decision-making  Linguistic information  Linguistic 2-tuple  Aggregation operators
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