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...

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Detalles Bibliográficos
Autores: Rodríguez González, Juan Tinguaro, Vitoriano Villanueva, Begoña, Montero De Juan, Francisco Javier
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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spelling Fuzzy dissimilarity-based classification for disaster initial assessmentRodríguez González, Juan TinguaroVitoriano Villanueva, BegoñaMontero De Juan, Francisco Javier519.8Fuzzy rule based classification systemsDisaster managementDissimilarityInvestigación operativa (Matemáticas)1207 Investigación OperativaA 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 PressPasi, G.Montero De Juan, Francisco JavierCiucci, D.Universidad Complutense de Madrid20132013-08-0120132013-08-01book parthttp://purl.org/coar/resource_type/c_3248info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/20.500.14352/35668reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/356682026-06-02T12:44:21Z
dc.title.none.fl_str_mv Fuzzy dissimilarity-based classification for disaster initial assessment
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
dc.creator.none.fl_str_mv Rodríguez González, Juan Tinguaro
Vitoriano Villanueva, Begoña
Montero De Juan, Francisco Javier
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
dc.contributor.none.fl_str_mv Pasi, G.
Montero De Juan, Francisco Javier
Ciucci, D.
Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 519.8
Fuzzy rule based classification systems
Disaster management
Dissimilarity
Investigación operativa (Matemáticas)
1207 Investigación Operativa
topic 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
dc.date.none.fl_str_mv 2013
2013-08-01
2013
2013-08-01
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/35668
url https://hdl.handle.net/20.500.14352/35668
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Atlantis Press
publisher.none.fl_str_mv Atlantis Press
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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