Conforming work teams within SMEs using Fuzzy Logic and Analytic Network Process (ANP)
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Archivos
Fecha
2023
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Elsevier B.V.
Nombre de Curso
Licencia CC
ATTRIBUTION-NONCOMMERCIAL-NODERIVS 4.0 INTERNATIONAL Deed (CC BY-NC-ND 4.0)
Licencia CC
https://creativecommons.org/licenses/by-nc-nd/4.0/
Resumen
The objective of this paper is to propose a quantitative methodology for the management of work teams through fuzzy logic and analytical network processing (ANP) for managerial decision-making in companies in the small and medium-sized business sectors. Through bibliographic research, the most influential variables were identified. The occurrences of these events were determined by the environment and their respective relevant variables for inclusion in the model. Qualitative data were transformed into quantitative data through fuzzy logic. The interactions of the variables among themselves in ANP were evaluated to estimate the best work teams or the members of each of them. © 2023 Elsevier B.V.. All rights reserved.
Notas
Indexación: Scopus.
Palabras clave
Analytical Network Processing, Fuzzy Logic, Managerial Decision Making, Work Teams
Citación
Procedia Computer Science. Open Access. Volume 220, Pages 952 - 957. 2023. 14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023. Leuven. 15 March 2023through 17 March 2023. Code 189712
DOI
10.1016/j.procs.2023.03.131