Modelo de Recomendación Basado en Conocimiento y Números SVN

Autores/as

  • Maikel Leyva Vázquez Universidad de Guayaquil, Facultad de Ciencias Matemáticas y Físicas, Guayaquil Ecuador
  • Florentin Smarandache University of New Mexico, Math and Sciences Division, 705 Gurley Ave., Gallup, NM 87301, USA

Palabras clave:

recommeder systems, SVN numbers, decision-making

Resumen

Recommendation models are useful in the decision-makingprocess that allow the user a set of options that are expected to meet their expectations. Recommendation models are useful in the decision-making process that offer the user a set of options that are expected to meet their SVN expectations to express linguistic terms. 

Descargas

Publicado

2018-03-05

Número

Vol. 2 Núm. 2 (2018): April - June

Sección

Articulos

Licencia

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.

Cómo citar

Modelo de Recomendación Basado en Conocimiento y Números SVN. (2018). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 2(2), 29-35. https://fs.unm.edu/NCML2/index.php/112/article/view/17