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dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.authorGonzález H., Juan D.
dc.contributor.authorCarvajal Serna, Luis Fernando
dc.contributor.authorToro Botero, Francisco Mauricio
dc.date.accessioned2019-06-28T09:36:26Z
dc.date.available2019-06-28T09:36:26Z
dc.date.issued2012
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/40594
dc.description.abstractThe inherent uncertainties, subjectivity, and engineering challenges in environmental problems are increasingly being worked upon computing methods based on artifi cial intelligence (AI), including computerized tools that allow an analyst to use approximate reasoning with incomplete and inaccurate information and with the support of an expert in the fi eld. In order to evaluate the applicability of this tool, this paper presents the development of a new water quality index based on fuzzy logic called the "fuzzy water quality index" (FWQI). This index is compared to the NSF water quality index (NSFWQI) and with the water quality index (ARWQI) obtained for the project "Red Río Fase I" for the Medellin metropolitan area environmental authority. The new FWQI provided reasonable correlations and results in comparison to the other two reference indexes. Finally, the FWQI could be used as a decision maker in the water management of Aburra River.
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia Sede Medellín
dc.relationhttp://revistas.unal.edu.co/index.php/dyna/article/view/29569
dc.relation.ispartofUniversidad Nacional de Colombia Revistas electrónicas UN Dyna
dc.relation.ispartofDyna
dc.relation.ispartofseriesDyna; Vol. 79, núm. 171 (2012); 50-58 DYNA; Vol. 79, núm. 171 (2012); 50-58 2346-2183 0012-7353
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.titleWater quality index based on fuzzy logic applied to the aburra river basin in the jurisdiction of the metropolitan area
dc.typeArtículo de revista
dc.type.driverinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.eprintshttp://bdigital.unal.edu.co/30691/
dc.relation.referencesGonzález H., Juan D. and Carvajal Serna, Luis Fernando and Toro Botero, Francisco Mauricio (2012) Water quality index based on fuzzy logic applied to the aburra river basin in the jurisdiction of the metropolitan area. Dyna; Vol. 79, núm. 171 (2012); 50-58 DYNA; Vol. 79, núm. 171 (2012); 50-58 2346-2183 0012-7353 .
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalwater quality indices (WQIs)
dc.subject.proposalfuzzy-logic
dc.subject.proposalfuzzy inference system
dc.subject.proposalbioindicators
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


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Atribución-NoComercial 4.0 InternacionalThis work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit