Implementation of an Intelligent Model Based on Machine Learning in the Application of Macro-Ergonomic Methods in a Human Resources Process Based on ISO 12207

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Author(s): Edgar Cossio Franco (Universidad Enrique Díaz de León, Mexico), Jorge Alberto Delgado Cazarez (Universidad de Guadalajara, Mexico)and Carlos Alberto Ochoa Ortiz Zezzatti (Universidad Autónoma de Ciudad Juárez, Mexico)
Copyright: 2022
Pages: 25
Source title: Research Anthology on Human Resource Practices for the Modern Workforce
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3873-2.ch015

Keywords: Business Science Reference / Human Resource Management / Human Resources Management / Knowledge Management and Library Science

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Abstract

The objective of this chapter is to implement an intelligent model based on machine learning in the application of macro-ergonomic methods in human resources processes based on the ISO 12207 standard. To achieve the objective, a method of constructing a Java language algorithm is applied to select the best prospect for a given position. Machine learning is done through decision trees and algorithm j48. Among the findings, it is shown that the model is useful in identifying the best profiles for a given position, optimizing the time in the selection process and human resources as well as the reduction of work stress.

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Implementation of an Intelligent Model Based on Machine Learning in the Application of Macro-Ergonomic Methods in a Human Resources Process Based on ISO 12207

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