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Uncertainty Theory Applied to Optimal Selection of Personnel in an Enterprise

Federico González Santoyo, Beatriz Flores Romero, Mauricio Chagolla Farías, Juan J. Flores. Universidad Michoacana de San Nicolás de Hidalgo


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.


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