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
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 t...
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| 格式: | Capítulo de libro |
| 語言: | English |
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IGI Global
2019
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| 主題: | |
| 在線閱讀: | https://doi.org/10.4018/978-1-5225-7192-6 https://www.igi-global.com/chapter/implementation-of-an-intelligent-model-based-on-machine-learning-in-the-application-of-macro-ergonomic-methods-in-a-human-resources-process-based-on-iso-12207/219104 |
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| 總結: | 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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