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Uncertainty Theory Applied to Optimal Selection of Personnel in an Enterprise

Author

Listed:
  • González Santoyo, Federico
  • Flores Romero, Beatriz
  • Chagolla Farías, Mauricio
  • Flores, Juan J.

    (Universidad Michoacana de San Nicolás de Hidalgo)

Abstract

This paper presents an enriched me-thodology for the selection of personnel in private and public enterprises. The proposed methodology uses the con-cept of distance (Euclidean, Ham-ming’s, Minkowski’s, and Mahalanobis’) as a basis element for decision taking, based on the theory of fuzzy logic. Through those mechanisms we got highly efficient results in terms of the company’s interests in this functional area related to obtaining high impact intellectual assets. Adequate human resources convey high performance for the company and increase profit and place it as market leaders. We present an application case for the proposed methodology

Suggested Citation

  • González Santoyo, Federico & Flores Romero, Beatriz & Chagolla Farías, Mauricio & Flores, Juan J., 2004. "Uncertainty Theory Applied to Optimal Selection of Personnel in an Enterprise," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 75-92, November.
  • Handle: RePEc:fzy:fuzeco:v:ix:y:2004:i:2:p:75-92
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    More about this item

    Keywords

    planning; personnel; benchmarking; fuzzy logic; parceling; merchandising; distance; Euclidean; Hamming; Minkowski; Mahalanobis.;

    JEL classification:

    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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