Abstract
The recruitment of new workers in a company is a critical and crucial decision due to the fact that employees are the basis, fundament and main support of their working environment. Following the objective of minimizing subjectivity and the excessive use of assumptions as a valid skill for choosing the proper candidate to fulfill a work place in a company, an attractive method for choosing staff based on Multicriterio Decisions Making and Fuzzy Logic is proposed, in a mathematical model through the multicriterio technique known as TOPSIS.
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References
Canós Darós, L., Casasús Estellés, T., Lara Mora, T., Liern Carrión, V., Pérez Cantó, J.C.: Flexible Personnel Selection Models based on competency assessment. Universidad Politécnica de Valencia, Valencia (España) (2008)
López, F.J.H., Trejo, C.O.: Method of Selection of Personnel by competences based on fuzzy logic. Universidad Autónoma de Querétaro, Querétaro (Mexico) (2013)
López, D.L., Segura, S.L.: Design and development of concept maps for Multicriteria Decision Making. Universidad de Sevilla, Sevilla (España) (2014)
RamÃrez, M.L.: The method of analytical hierarchies of Saaty in the weighting of Variables in the level of mortality and morbidity in the province of Chaco. Universidad Nacional del Nordeste, Chaco (Argentina) (2004)
Contreras, C.D., Aguilera Rojas, A., Guillén Barrientos, N.: Fuzzy Logic v/s Multiple Regression Model for Personnel Selection. Universidad de Tarapacá, Arica (Chile) (2014)
del Socorro GarcÃa Cascales, M., Jiménez, M.T.L., Merino, R.R.: Methods for comparing alternatives through a Decision Support System (S.A.D) and Soft Computing. Universidad Politécnica de Cartagena, Cartagena (España) (2009)
Ercole, R.A., Alberto, C.L., Carignano, C.E.: TOPSIS in actions with linguistic variables. In: XXXIII Argentine Congress of University Teachers of Costs, Mar del Plata (Argentina), Octubre (2010)
Chagoya, E.R.: Investigation methodology. Minatitlan (Mexico), 5 Noviembre (2014)
Contreras, G.P., Cáceres, S.Z.: Diagnosis of the emotional and relational Capital in the students of the school of computer science – UTEM. Universidad Tecnológica Metropolitana, Santiago (Chile), Diciembre (2015)
Cheesman de Rueda, S.: Research Basics. Universidad del Reyno de Guatemala, Guatemala (Guatemala), Abril (2011)
BuendÃa, L., Colás, P., Hernández, F.: Research Methods in Psychopedagogy. Universidad Autónoma de Madrid, Madrid (España) (1997)
Mortis Lozoya, M.S., Rosas Jiménez, R., Chairez Flores, E.: Research Designs. Instituto Tecnológico de Sonora, Obregón (Mexico) (2012)
Lima Junior, F.R., Carpinetti, C.R.: Comparison between TOPSIS Fuzzy and AHP Fuzzy methods to support the decision making process for Supplier Selection. Escuela de Ingenieria de San Carlos, Sao Paulo (Brasil) (2013)
Kahraman, C.: Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments. Universidad Técnica de Estambul, Estambul (Turquia) (2016)
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Santiago, Z.C., Luis, E.R., Ricardo, L.N. (2020). Selection of Personnel Based on Multicriteria Decision Making and Fuzzy Logic. In: Arai, K., Kapoor, S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 944. Springer, Cham. https://doi.org/10.1007/978-3-030-17798-0_1
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DOI: https://doi.org/10.1007/978-3-030-17798-0_1
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