Computational intelligence in decision making

In this preface we stress the relevance of the traditional collaboration between Engineering and any field of Mathematics in order to build intelligent decision-aid tools, as it is illustrated by the twelve papers contained in this Special Issue. These papers, selected by means of a standard peer re...

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Detalles Bibliográficos
Autores: Espinilla, Macarena, Montero De Juan, Francisco Javier, Rodríguez González, Juan Tinguaro
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/33389
Acceso en línea:https://hdl.handle.net/20.500.14352/33389
Access Level:acceso abierto
Palabra clave:004
Computational Intelligence
Decision Making
Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
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spelling Computational intelligence in decision makingEspinilla, MacarenaMontero De Juan, Francisco JavierRodríguez González, Juan Tinguaro004Computational IntelligenceDecision MakingInteligencia artificial (Informática)1203.04 Inteligencia ArtificialIn this preface we stress the relevance of the traditional collaboration between Engineering and any field of Mathematics in order to build intelligent decision-aid tools, as it is illustrated by the twelve papers contained in this Special Issue. These papers, selected by means of a standard peer review process after an open call, offer an interesting variety of models, approaches and techniques, to be applied within different specific problems. Each paper is introduced in this preface and is developed in the subsequent article. Moreover, in this preface we also claim for a more intense collaboration between decision engineers and other fields that study human brain behavior, like Neurology, Psychology, Sociology and Linguistics. Because if we really want to procure intelligent tools for decision aid, we should start by taking the human brain as our first reference, as it is the most efficient machinery we have found in order to deal with complex, uncertain, incomplete and even apparently inconsistent information. We hope that readers will enjoy this Special Issue devoted to Computational Intelligence in Decision Making.Atlantis PressUniversidad Complutense de Madrid20132013-01-0120132013-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/33389reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/333892026-06-02T12:44:21Z
dc.title.none.fl_str_mv Computational intelligence in decision making
title Computational intelligence in decision making
spellingShingle Computational intelligence in decision making
Espinilla, Macarena
004
Computational Intelligence
Decision Making
Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
title_short Computational intelligence in decision making
title_full Computational intelligence in decision making
title_fullStr Computational intelligence in decision making
title_full_unstemmed Computational intelligence in decision making
title_sort Computational intelligence in decision making
dc.creator.none.fl_str_mv Espinilla, Macarena
Montero De Juan, Francisco Javier
Rodríguez González, Juan Tinguaro
author Espinilla, Macarena
author_facet Espinilla, Macarena
Montero De Juan, Francisco Javier
Rodríguez González, Juan Tinguaro
author_role author
author2 Montero De Juan, Francisco Javier
Rodríguez González, Juan Tinguaro
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 004
Computational Intelligence
Decision Making
Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
topic 004
Computational Intelligence
Decision Making
Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
description In this preface we stress the relevance of the traditional collaboration between Engineering and any field of Mathematics in order to build intelligent decision-aid tools, as it is illustrated by the twelve papers contained in this Special Issue. These papers, selected by means of a standard peer review process after an open call, offer an interesting variety of models, approaches and techniques, to be applied within different specific problems. Each paper is introduced in this preface and is developed in the subsequent article. Moreover, in this preface we also claim for a more intense collaboration between decision engineers and other fields that study human brain behavior, like Neurology, Psychology, Sociology and Linguistics. Because if we really want to procure intelligent tools for decision aid, we should start by taking the human brain as our first reference, as it is the most efficient machinery we have found in order to deal with complex, uncertain, incomplete and even apparently inconsistent information. We hope that readers will enjoy this Special Issue devoted to Computational Intelligence in Decision Making.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01
2013
2013-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/33389
url https://hdl.handle.net/20.500.14352/33389
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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