Citizen criminality assessment in lima city using the grey clustering method

Descripción del Articulo

Citizen criminality has become an important social problem in Lima city, due to the fact that the number of crimes has increased. In this study, we conducted a citizen criminality assessment using the grey clustering method, which is based on grey systems theory. The case study was conducted on 32 d...

Descripción completa

Detalles Bibliográficos
Autor: Delgado, Alexi
Formato: objeto de conferencia
Fecha de Publicación:2017
Institución:Universidad de Ciencias y Humanidades
Repositorio:UCH-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.uch.edu.pe:uch/328
Enlace del recurso:http://repositorio.uch.edu.pe/handle/uch/328
http://dx.doi.org/10.1109/INTERCON.2017.8079662
https://ieeexplore.ieee.org/document/8079662
Nivel de acceso:acceso embargado
Materia:Computation theory
System theory
Uncertainty analysis
Best decision
Criminality
District government
Grey clustering
Social problems
Cluster analysis
id UUCH_4a3c959c78179a03e021cade17ba78ed
oai_identifier_str oai:repositorio.uch.edu.pe:uch/328
network_acronym_str UUCH
network_name_str UCH-Institucional
repository_id_str 4783
spelling Delgado, Alexi15 August 2017 through 18 August 20172019-08-18T03:36:33Z2019-08-18T03:36:33Z2017-08Delgado, A. (Agosto, 2017). Citizen criminality assessment in lima city using the grey clustering method. En XXIV International Conference on Electronics, Electrical Engineering and Computing, Perú.http://repositorio.uch.edu.pe/handle/uch/328http://dx.doi.org/10.1109/INTERCON.2017.8079662https://ieeexplore.ieee.org/document/807966210.1109/INTERCON.2017.8079662IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON2-s2.0-85040014884Citizen criminality has become an important social problem in Lima city, due to the fact that the number of crimes has increased. In this study, we conducted a citizen criminality assessment using the grey clustering method, which is based on grey systems theory. The case study was conducted on 32 districts from Lima, Peru. Consequently, a map on the citizen criminality situation was obtained. The results revealed that the more insecure districts were San Juan de Lurigancho, Los Olivos, and Cercado de Lima; and the less insecure districts were Ancón, Surquillo, and Lince. The study results could help to the central and district government to make the best decision on the citizen criminality problem. The grey clustering method showed interesting results and could be applied to other social problems, as this method considers the uncertainty within its analysis.Submitted by sistemas uch (sistemas@uch.edu.pe) on 2019-08-18T03:36:33Z No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5)Made available in DSpace on 2019-08-18T03:36:33Z (GMT). No. of bitstreams: 1 REPOSITORIO.pdf: 29656 bytes, checksum: 04319d67592b306412ce804f495f0004 (MD5) Previous issue date: 2017-08IEEE Peru SectionengInstitute of Electrical and Electronics Engineers Inc.info:eu-repo/semantics/article24th International Congress on Electronics, Electrical Engineering and Computing, IEEE INTERCON 2017info:eu-repo/semantics/embargoedAccessRepositorio Institucional - UCHUniversidad de Ciencias y Humanidadesreponame:UCH-Institucionalinstname:Universidad de Ciencias y Humanidadesinstacron:UCHComputation theorySystem theoryUncertainty analysisBest decisionCriminalityDistrict governmentGrey clusteringSocial problemsCluster analysisCitizen criminality assessment in lima city using the grey clustering methodinfo:eu-repo/semantics/conferenceObjectuch/328oai:repositorio.uch.edu.pe:uch/3282019-12-20 18:34:00.815Repositorio UCHuch.dspace@gmail.com
dc.title.en_PE.fl_str_mv Citizen criminality assessment in lima city using the grey clustering method
title Citizen criminality assessment in lima city using the grey clustering method
spellingShingle Citizen criminality assessment in lima city using the grey clustering method
Delgado, Alexi
Computation theory
System theory
Uncertainty analysis
Best decision
Criminality
District government
Grey clustering
Social problems
Cluster analysis
title_short Citizen criminality assessment in lima city using the grey clustering method
title_full Citizen criminality assessment in lima city using the grey clustering method
title_fullStr Citizen criminality assessment in lima city using the grey clustering method
title_full_unstemmed Citizen criminality assessment in lima city using the grey clustering method
title_sort Citizen criminality assessment in lima city using the grey clustering method
author Delgado, Alexi
author_facet Delgado, Alexi
author_role author
dc.contributor.author.fl_str_mv Delgado, Alexi
dc.subject.en.fl_str_mv Computation theory
System theory
Uncertainty analysis
Best decision
Criminality
District government
Grey clustering
Social problems
Cluster analysis
topic Computation theory
System theory
Uncertainty analysis
Best decision
Criminality
District government
Grey clustering
Social problems
Cluster analysis
description Citizen criminality has become an important social problem in Lima city, due to the fact that the number of crimes has increased. In this study, we conducted a citizen criminality assessment using the grey clustering method, which is based on grey systems theory. The case study was conducted on 32 districts from Lima, Peru. Consequently, a map on the citizen criminality situation was obtained. The results revealed that the more insecure districts were San Juan de Lurigancho, Los Olivos, and Cercado de Lima; and the less insecure districts were Ancón, Surquillo, and Lince. The study results could help to the central and district government to make the best decision on the citizen criminality problem. The grey clustering method showed interesting results and could be applied to other social problems, as this method considers the uncertainty within its analysis.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2019-08-18T03:36:33Z
dc.date.available.none.fl_str_mv 2019-08-18T03:36:33Z
dc.date.issued.fl_str_mv 2017-08
dc.type.en_PE.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
dc.identifier.citation.en_PE.fl_str_mv Delgado, A. (Agosto, 2017). Citizen criminality assessment in lima city using the grey clustering method. En XXIV International Conference on Electronics, Electrical Engineering and Computing, Perú.
dc.identifier.uri.none.fl_str_mv http://repositorio.uch.edu.pe/handle/uch/328
http://dx.doi.org/10.1109/INTERCON.2017.8079662
https://ieeexplore.ieee.org/document/8079662
dc.identifier.doi.en_PE.fl_str_mv 10.1109/INTERCON.2017.8079662
dc.identifier.journal.en_PE.fl_str_mv IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85040014884
identifier_str_mv Delgado, A. (Agosto, 2017). Citizen criminality assessment in lima city using the grey clustering method. En XXIV International Conference on Electronics, Electrical Engineering and Computing, Perú.
10.1109/INTERCON.2017.8079662
IEEE International Congress on Electronics, Electrical Engineering and Computing, INTERCON
2-s2.0-85040014884
url http://repositorio.uch.edu.pe/handle/uch/328
http://dx.doi.org/10.1109/INTERCON.2017.8079662
https://ieeexplore.ieee.org/document/8079662
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.en_PE.fl_str_mv info:eu-repo/semantics/article
dc.relation.ispartof.none.fl_str_mv 24th International Congress on Electronics, Electrical Engineering and Computing, IEEE INTERCON 2017
dc.rights.en_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.coverage.temporal.none.fl_str_mv 15 August 2017 through 18 August 2017
dc.publisher.en_PE.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.en_PE.fl_str_mv Repositorio Institucional - UCH
Universidad de Ciencias y Humanidades
dc.source.none.fl_str_mv reponame:UCH-Institucional
instname:Universidad de Ciencias y Humanidades
instacron:UCH
instname_str Universidad de Ciencias y Humanidades
instacron_str UCH
institution UCH
reponame_str UCH-Institucional
collection UCH-Institucional
repository.name.fl_str_mv Repositorio UCH
repository.mail.fl_str_mv uch.dspace@gmail.com
_version_ 1835549164687065088
score 13.914502
Citizen criminality assessment in lima city using the grey clustering method
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).

Ejemplares Similares