Applying intelligent techniques for talent recruitment

• Autorzy: Flores-Hernández Isaac , Bonilla-Huerta Edmundo , Quintero-Flores Perfecto Malaquías , Ponce Oscar Atriano , Hernández-Hernández José Crispín

Identyfikatory

DOI

10.23743/acs-2019-14

• Języki publikacji: EN

Abstrakty

EN

The objective of this research is to describe a system to aligned the hard and soft skills of the applicant to the current labor market. For this, a system was implemented which uses Web Scraping to get a general profile of an area, meanwhile for the evaluation of the applicant soft skills is used a Test Cleaver and for the hard skills fuzzy inference system is implemented. Therefore, the data is entered into an Analytic Hierarchy Process, with this, the applier is able to see which area is better to improve according to the hard and soft skills.

Słowa kluczowe

EN

fuzzy logic; web scraping; personnel selection; AHP

PL

logika rozmyta; selekcja personelu; AHP

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2019
• Tom: Vol. 15, no 2
• Strony: 63--72
• Opis fizyczny: Bibliogr. 8 poz., fig., tab.

Twórcy

autor

Flores-Hernández Isaac

• Instituto Tecnológico de Apizaco, Computer Systems Department, Fco I Madero, Barrio de San José, 90300 Apizaco, Tlaxcala, México

autor

Bonilla-Huerta Edmundo

• Instituto Tecnológico de Apizaco, Computer Systems Department, Fco I Madero, Barrio de San José, 90300 Apizaco, Tlaxcala, México

autor

Quintero-Flores Perfecto Malaquías

• Instituto Tecnológico de Apizaco, Computer Systems Department, Fco I Madero, Barrio de San José, 90300 Apizaco, Tlaxcala, México

autor

Ponce Oscar Atriano

• Smartsoft America BA, Calle Adolfo López Mateos, Texcacoac, 90806 Chiautempan, México

autor

Hernández-Hernández José Crispín

• Instituto Tecnológico de Apizaco, Computer Systems Department, Fco I Madero, Barrio de San José, 90300 Apizaco, Tlaxcala, México

Bibliografia

• [1] Algur, S., Bhat, P., & Kulkarni, N. (2016). Educational Data Mining: Classification Techniques for Recruitment Analysis. International Journal of Modern Education and Computer Science (IJMECS), 8(2), 59–65. doi:10.5815/ijmecs.2016.02.08
• [2] Broucke, S., & Baesens, B. (2018). Practical Web Scraping for Data Science: Best practices and Examples with Python. New York: Apress. doi: 10.1007/978-1-4842-3582-9
• [3] Gil-Gaytán, O. L., & Núñez-Partido, A. (2017). Rasgos de personalidad de exportadores mexicanos con éxito. Revista Academia & Negocios, 3(1), 23–34.
• [4] Koutra, G., Barbounaki, S., Kardaras, D., & Stalidis, G. (2017). A multicriteria model for Personnel selection in Maritime Industry in Greece. In 2017 IEEE 19th Conference on Business Informatics (CBI) (pp. 287–294). Thessaloniki. doi:10.1109/CBI.2017.52
• [5] Mamdani, E. H., & Assilan, S. (1975). An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. International Journal of Man-Machine Studies, 7(1), 1–13. doi:10.1016/S0020-7373(75)80002-2
• [6] Rianto, Budiyanto, D., Setyohadi, & Suyoto. (2017). AHP-TOPSIS on Selection of New University Students and the Prediction of Future Employment. In 2017 1st International Conference on Informatics and Computational Sciences (ICICoS) (pp. 125–130). Semarang. doi: 10.1109/ICICOS.2017.8276349
• [7] Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
• [8] Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. doi:10.1016/S0019-9958(65)90241-X

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).