Fuzzy dissimilarity-based classification for disaster initial assessment
A correct initial assessment of disaster consequences is crucial for an adequate decision-making in disaster and emergency management. However, such an initial assessment needs to be correct, but not necessarily fully precise, and thus it can be associated with a fuzzy classification problem in whic...
| Autores: | , , |
|---|---|
| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2013 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/35668 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/35668 |
| Access Level: | acceso abierto |
| Palabra clave: | 519.8 Fuzzy rule based classification systems Disaster management Dissimilarity Investigación operativa (Matemáticas) 1207 Investigación Operativa |
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oai:docta.ucm.es:20.500.14352/35668 |
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Fuzzy dissimilarity-based classification for disaster initial assessment Rodríguez González, Juan Tinguaro Vitoriano Villanueva, Begoña Montero De Juan, Francisco Javier 519.8 Fuzzy rule based classification systems Disaster management Dissimilarity Investigación operativa (Matemáticas) 1207 Investigación Operativa A correct initial assessment of disaster consequences is crucial for an adequate decision-making in disaster and emergency management. However, such an initial assessment needs to be correct, but not necessarily fully precise, and thus it can be associated with a fuzzy classification problem in which the set of classes presents a relevant structure. This paper proposes the consideration of a dissimilarity operator in order to introduce such a structure in the classifier's learning and reasoning procedures, leading to an improvement in the classifiers adaptation to the disaster management context features and decision making requirements. Atlantis Press https://hdl.handle.net/20.500.14352/35668 |
| title |
Fuzzy dissimilarity-based classification for disaster initial assessment |
| spellingShingle |
Fuzzy dissimilarity-based classification for disaster initial assessment Rodríguez González, Juan Tinguaro 519.8 Fuzzy rule based classification systems Disaster management Dissimilarity Investigación operativa (Matemáticas) 1207 Investigación Operativa |
| title_short |
Fuzzy dissimilarity-based classification for disaster initial assessment |
| title_full |
Fuzzy dissimilarity-based classification for disaster initial assessment |
| title_fullStr |
Fuzzy dissimilarity-based classification for disaster initial assessment |
| title_full_unstemmed |
Fuzzy dissimilarity-based classification for disaster initial assessment |
| title_sort |
Fuzzy dissimilarity-based classification for disaster initial assessment |
| author |
Rodríguez González, Juan Tinguaro |
| author_facet |
Rodríguez González, Juan Tinguaro Vitoriano Villanueva, Begoña Montero De Juan, Francisco Javier |
| author_role |
author |
| author2 |
Vitoriano Villanueva, Begoña Montero De Juan, Francisco Javier |
| author2_role |
author author |
| topic |
519.8 Fuzzy rule based classification systems Disaster management Dissimilarity Investigación operativa (Matemáticas) 1207 Investigación Operativa |
| topic_facet |
519.8 Fuzzy rule based classification systems Disaster management Dissimilarity Investigación operativa (Matemáticas) 1207 Investigación Operativa |
| description |
A correct initial assessment of disaster consequences is crucial for an adequate decision-making in disaster and emergency management. However, such an initial assessment needs to be correct, but not necessarily fully precise, and thus it can be associated with a fuzzy classification problem in which the set of classes presents a relevant structure. This paper proposes the consideration of a dissimilarity operator in order to introduce such a structure in the classifier's learning and reasoning procedures, leading to an improvement in the classifiers adaptation to the disaster management context features and decision making requirements. |
| publishDate |
2013 |
| format |
bookPart |
| url |
https://hdl.handle.net/20.500.14352/35668 |
| language |
eng |
| eu_rights_str_mv |
openAccess |
| publisher |
Atlantis Press |
| institution |
Universidad Complutense de Madrid (UCM) |
| collection |
Docta Complutense |
| reponame_str |
Docta Complutense |
| instname_str |
Universidad Complutense de Madrid (UCM) |
| _version_ |
1878435352917573632 |
| publishDateSort |
2013 |
| author_browse |
Montero De Juan, Francisco Javier Rodríguez González, Juan Tinguaro Vitoriano Villanueva, Begoña |
| publisherStr |
Atlantis Press |
| score |
6,924472 |