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...
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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 |
Sumario: | 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. |
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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).
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).