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Ingeniería y Desarrollo
versión impresa ISSN 0122-3461versión On-line ISSN 2145-9371
Resumen
MOLINA SERRANO, Beatriz; GONZALEZ CANCELAS, Nicoleta y SOLER FLORES, Francisco. Artifical intelligence to determine if liquified natural gas in short sea shipping is a social bet. Ing. Desarro. [online]. 2018, vol.36, n.2, pp.418-436. ISSN 0122-3461. https://doi.org/10.14482/inde.36.2.10458.
The impulse of the short sea shipping, developed by the European Union to reduce congestion in its main corridors, has led the need to look for alternative fuels more environmental friendly, such as liquefied natural gas. This article aims to know if the use of liquefied natural gas, as an alternative fuel for short sea shipping, has an impact on social components, using artificial intelligence.
Palabras clave : Bayesian network; data mining; liquefied natural gas; short sea shipping.