Title: Some fuzzy models for human resource management

Authors: Lourdes Canos, Vicente Liern

Addresses: Departamento de Organizacion de Empresas, Economia Financiera y Contabilidad, Universidad Politecnica de Valencia, Camino de Vera, s/n. Valencia 46022, Spain. ' Departamento de Matematica Economico-Empresarial, Universidad de Valencia, Avinguda de Tarongers, s/n. Valencia 46071, Spain

Abstract: In this paper, we use fuzzy logic for decision-making in situations in human resource management like personnel selection and optimal staff design. The flexibility of these techniques allows us to make a ranking of the applicants for a job by using distance measures or similarity degrees with an ||ideal candidate||. Moreover, if an external valuation is available, the OWA aggregation operators enable us to assign different weights to selection criteria to imitate this expert valuation. When the staff design is made in a complicated situation like a merger or an acquisition, it is usual to deal with an infeasible instance of the mathematical program. In this case, we propose two fuzzy linear programming methods for making viable the model. Finally, it is important to point out that these models can be implemented in MS EXCEL.

Keywords: personnel selection; staff design; fuzzy sets; OWA aggregation operators; fuzzy logic; decision making; human resource management; HRM; fuzzy models.

DOI: 10.1504/IJTPM.2004.006613

International Journal of Technology, Policy and Management, 2004 Vol.4 No.4, pp.291 - 308

Published online: 28 Mar 2005 *

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