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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Bibliographic Details
Authors: Rodríguez González, Juan Tinguaro; Vitoriano Villanueva, Begoña; Montero De Juan, Francisco Javier
Format: Book chapter
Publication date:2013
Country:España
Institution:Universidad Complutense de Madrid (UCM)
Repository:Docta Complutense
Language:English
OAI Identifier:oai:docta.ucm.es:20.500.14352/35668
Online Access:https://hdl.handle.net/20.500.14352/35668
Access Level:Open access
Keyword:519.8
Fuzzy rule based classification systems
Disaster management
Dissimilarity
Investigación operativa (Matemáticas)
1207 Investigación Operativa
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author Rodríguez González, Juan Tinguaro
author2 Vitoriano Villanueva, Begoña
Montero De Juan, Francisco Javier
author2_role author
author
author_browse Montero De Juan, Francisco Javier
Rodríguez González, Juan Tinguaro
Vitoriano Villanueva, Begoña
author_facet Rodríguez González, Juan Tinguaro
Vitoriano Villanueva, Begoña
Montero De Juan, Francisco Javier
author_role author
collection Docta Complutense
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.
eu_rights_str_mv openAccess
format bookPart
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institution Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
language eng
network_acronym_str ES
network_name_str España
oai_identifier_str oai:docta.ucm.es:20.500.14352/35668
publishDate 2013
publishDateSort 2013
publisher Atlantis Press
publisherStr Atlantis Press
reponame_str Docta Complutense
spelling 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
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 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_short Fuzzy dissimilarity-based classification for disaster initial assessment
title_sort Fuzzy dissimilarity-based classification for disaster initial assessment
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
url https://hdl.handle.net/20.500.14352/35668