Open AccessA Personnel Selection Model for a Software Development Company based on the ELECTRE III Method and a Variant of NSGA-II
Author(s) -
Juan Carlos Leyva-López,
Jesús Jaime Solano Noriega,
Diego Alonso Gastélum Chavira,
Teodoro Gaxiola-Valenzuela
Publication year - 2022
Publication title -
revista innovar journal
Language(s) - English
Resource type - Journals
eISSN - 2248-6968
pISSN - 0121-5051
DOI - 10.15446/innovar.v32n85.100657
Subject(s) - electre , ranking (information retrieval) , selection (genetic algorithm) , task (project management) , computer science , relation (database) , software , exploit , order (exchange) , process (computing) , operations research , fuzzy logic , personnel selection , decision maker , multiple criteria decision analysis , machine learning , artificial intelligence , data mining , engineering , mathematics , business , systems engineering , statistics , computer security , finance , programming language , operating system
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, considering 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.