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vol.32 issue85ANALYSIS OF THE WORKING CONDITIONS OF HEADS OF HOUSEHOLDS IN MEXICO: SHARED PRECARIOUSNESS AND DIFFERENTIATED NEEDSLIMITATIONS FOR HIRING PEOPLE WITH PHYSICAL DISABILITIES IN PUBLIC SERVICE ORGANIZATIONS. THE CASE OF APPLICANTS TO THE PUBLIC TRANSPORT SYSTEM OF A CAPITAL CITY author indexsubject indexarticles search
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Innovar

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Abstract

LEYVA-LOPEZ, Juan Carlos; SOLANO-NORIEGA, Jesús Jaime; GASTELUM-CHAVIRA, Diego Alonso  and  GAXIOLA-VALENZUELA, Teodoro. A Personnel Selection Model for a Software Development Company based on the ELECTRE HI Method and a Variant of NSGA-II. Innovar [online]. 2022, vol.32, n.85, pp.117-132.  Epub July 27, 2022. ISSN 0121-5051.  https://doi.org/10.15446/innovar.v32n85.100657.

Personnel selection represents a valuable decision-making process that determines, in some way, the competitiveness and performance of an organization. The essential elements of the personnel selection task are the position requirements and the accessible information related to candidates. In this paper, the personnel selection task is modeled as a multicriteria decision-making problem that considers varied competencies and skills to assess the applicants for a specific position. We used this multicriteria model to solve personnel selection cases using SADGAGE, a decision support system that solves examples of the multicriteria ranking problem in decreasing order based on the preferences of the decision-maker. The ELECTRE-III method is embedded in the software in order to construct a fuzzy outranking relation and a multi-objective evolutionary algorithm to exploit such relation and generate a ranking as a recommendation. This work presents a practical application to a personnel selection problem that evaluates a group of applicants to a software developer job in an enterprise based in northwestern Mexico. We show how the proposed multicriteria procedure offers a recommendation to the decision-maker about the applicants in decreasing order of preferences.

Keywords : Personnel selection; multicriteria decision analysis; multi-objective evolutionary algorithms; ELECTRE-III.

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