Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/45878
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dc.contributor.authorSantacreu Ríos, Luis Juanen_US
dc.contributor.authorTalavera-Ortiz, Alejandroen_US
dc.contributor.authorAguasca-Colomo, Ricardoen_US
dc.contributor.authorGalván-González, Blas Joséen_US
dc.contributor.otherAguasca Colomo, Ricardo-
dc.date.accessioned2018-11-22T13:18:51Z-
dc.date.available2018-11-22T13:18:51Z-
dc.date.issued2015en_US
dc.identifier.issn0012-7361en_US
dc.identifier.urihttp://hdl.handle.net/10553/45878-
dc.description.abstractThe volume of information used in the Emergency Coordination Center (1-1-2 CECOES), which depends on the Canary Government, during and after any adverse weather phenomenon (FMA in Spanish) is now significantly greater than before, The amount of bulletins warnings and forecasts about FMA sent by the Meteorological Agency (AEMET), and received at the 1-1-2 CECOES, is really considerable. The information should be treated as soon as possible in order to generate the corresponding pre-alerts and notifications, as well as public notices to the citizens The rule-based expert systems can overcome the human capacity, for example, when required to analyze a large volume of data in a limited period of time, as in the emergency services. Moreover, Fuzzy Logic is an artificial intelligence methodology that is effective when dealing with vagueness or ambiguity, erroneous or absence of information, something that the emergency services are used to: for example, "It rains a lot", "the storm is far away", " it is windy" and "we have low temperatures" , are typical responses given by some callers when they alert 1-1-2. Finally, Weather Forecasts usually work with imprecise concepts such as: possibility, (when the probability that a weather phenomenon occurs is between 10 and 40%) and probability, (when between 40 and 70%). We have primarily developed an expert helping-system for decision-making based on an inference engine implemented with Fuzzy Logic in CECOES 1-1-2. This system is able to provide clear answers at the inaccuracy or lack of information, and if trained with real cases, it can improve human behaviour giving a quick and effective response. Keywords: CECOES 1-1-2, Adverse Weather Phenomena, Expert System, Artificial Intelligence, Fuzzy Logic, Analytic Hierarchy Process (AHP).en_US
dc.languageengen_US
dc.relation.ispartofDyna (Bilbao)en_US
dc.sourceDyna (Bilbao) [ISSN 0012-7361], v. 90 (5), p. 503-512en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherFenómeno Meteorológico Adversoen_US
dc.subject.otherSistema Expertoen_US
dc.subject.otherInteligencia artificialen_US
dc.subject.otherProceso Analítico Jerárquico (AHP)en_US
dc.subject.otherLógica difusaen_US
dc.titleExpert sistem for making decisions about emergency and safety in case of adverse meteorological conditionsen_US
dc.title.alternativeSistema experto para tomar decisiones de emergencias y seguridad ante meteorología adversaen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.6036/7469en_US
dc.identifier.scopus84942941038-
dc.identifier.isi000363418900013-
dcterms.isPartOfDyna-
dcterms.sourceDyna[ISSN 0012-7361],v. 90 (5), p. 503-512-
dc.contributor.authorscopusid56884754400-
dc.contributor.authorscopusid55308143100-
dc.contributor.authorscopusid55308143300-
dc.contributor.authorscopusid56006820800-
dc.description.lastpage512en_US
dc.identifier.issue3-
dc.description.firstpage503en_US
dc.relation.volume90en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000363418900013-
dc.contributor.daisngid24050572-
dc.contributor.daisngid11194302-
dc.contributor.daisngid8013589-
dc.contributor.daisngid7027333-
dc.identifier.investigatorRIDR-7444-2018-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Santacreu-Rios, LJ-
dc.contributor.wosstandardWOS:Talavera-Ortiz, A-
dc.contributor.wosstandardWOS:Aguasca-Colomo, R-
dc.contributor.wosstandardWOS:Galvan-Gonzalez, BJ-
dc.date.coverdateEnero 2015en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.sjr0,165
dc.description.jcr0,302
dc.description.sjrqQ4
dc.description.jcrqQ4
dc.description.sellofecytSello FECYT
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptDepartamento de Teleformación-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.orcid0000-0003-2217-8005-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameSantacreu Ríos, Luis Juan-
crisitem.author.fullNameTalavera Ortiz,Alejandro-
crisitem.author.fullNameAguasca Colomo, Ricardo-
crisitem.author.fullNameGalván González, Blas José-
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