Analisis de Modelos Mentales Aplicado al Proceso de Aprendizaje/[ Analysis of Mental Models Applied to the Learning Process ]
Mental model representation using fuzzy graphs have recently grown in popularity for decision support and knowledge representation. Finding the most important node in the model has multiple applications. This paper presents a new model for static analysis in fuzzy graphs applied to the learning proc...
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| Veröffentlicht in: | International journal of innovation and applied studies 2016-06, Vol.16 (3), p.528-528 |
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| container_end_page | 528 |
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| container_issue | 3 |
| container_start_page | 528 |
| container_title | International journal of innovation and applied studies |
| container_volume | 16 |
| creator | Colombo, Katya Martha Faggioni Villagomez, Mario Mata Granda, Julio Bruce Novillo Rivas, Fabiola Rosa Lopezdominguez |
| description | Mental model representation using fuzzy graphs have recently grown in popularity for decision support and knowledge representation. Finding the most important node in the model has multiple applications. This paper presents a new model for static analysis in fuzzy graphs applied to the learning process. It makes use WA operators for the aggregation of the different centrality measures. This composite measure make possible to order the nodes and select the most important in a more integral way. WA operator brings flexibility to the model. A case study to show the applicability of the proposal is presented. |
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| identifier | ISSN: 2028-9324 |
| ispartof | International journal of innovation and applied studies, 2016-06, Vol.16 (3), p.528-528 |
| issn | 2028-9324 2028-9324 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1835560119 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Agglomeration Flexibility Fuzzy Graphs Integrals Learning Operators Proposals |
| title | Analisis de Modelos Mentales Aplicado al Proceso de Aprendizaje/[ Analysis of Mental Models Applied to the Learning Process ] |
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