Modelo de Recomendación Basado en Conocimiento y Números SVN

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Published: Mar 5, 2018
Keywords:
recommeder systems, SVN numbers, decision-making

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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

Abstract

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. 

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How to Cite
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
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Vol. 2 No. 2 (2018): April - June
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

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