Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
2018
Abstract
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.
Publisher
University of New Mexico
Publication Title
Neutrosophic Computing and Machine Learning
Volume
1
First Page
21
Last Page
30
DOI
10.5281/zenodo.1254944
Language (ISO)
Spanish
Keywords
mental models, fuzzy cognitive maps, neutrosophic cognitive maps, static analysis in NCM
Recommended Citation
Leyva-Vazquez, Maykel; Rebeca Escobar-Jara; and Florentin Smarandache.
"Mental models and Neutrosophic cognitive maps (Modelos mentales y mapas cognitivos neutrosóficos)."
Neutrosophic Computing and Machine Learning
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Included in
Applied Mathematics Commons, Logic and Foundations Commons, Other Life Sciences Commons, Other Mathematics Commons, Set Theory Commons, Systems Biology Commons
