Modelos mentales y mapas cognitivos neutrosóficos Mental models and neutrosophic cognitive maps

Autores/as

  • Maikel Leyva Vázquez Universidad de Guayaquil, Facultad de Ciencias Matemáticas y Físicas, Guayaquil Ecuador
  • Rebeca Escobar Jara Universidad de Guayaquil, Facultad de Comunicación Social, Guayaquil Ecuador.
  • Florentin Smarandache University of New Mexico. 705 Gurley Ave., Gallup, NM 87301, USA.

Palabras clave:

mental models, fuzzy cognitive maps, neutrosophic cognitive maps, static analysis in NCM

Resumen

In this work, elements related to mental models elicitation and analysis are addressed through causal models. Issues related to the need to include indeterminacy in causal relationships through neutrophic cognitive maps are discussed. A proposal for static analysis in neutrosophic cognitive maps is presented. The following activities are included in the proposal: Calculate, measures of centrality, Classify nodes, De-neutrosification, and Ranking nodes. As future works, the incorporation of new metrics of centrality in neutrosophic cognitive maps is proposed. The inclusion of scenario analysis to the proposal is another area of future work.

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Publicado

2018-01-08

Número

Sección

Articulos

Cómo citar

Modelos mentales y mapas cognitivos neutrosóficos Mental models and neutrosophic cognitive maps. (2018). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 1(1), 22-30. https://fs.unm.edu/NCML2/index.php/112/article/view/8

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