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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Romero, Pablo | - |
dc.contributor.author | Graneri, Jorge | - |
dc.contributor.author | Viera, Omar | - |
dc.contributor.author | Moscatelli, Sandro | - |
dc.contributor.author | Tansini, Libertad | - |
dc.date.accessioned | 2016-05-03T15:10:45Z | - |
dc.date.available | 2016-05-03T15:10:45Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | ROMERO, P. , GRANERI, J., VIERA, O., y otros. "A Multi-Tree Committee to Assist Port-of-entry Inspection Decisions". Montevideo : UR.FI-INCO, 2015. Reportes Técnicos 15-13. | es |
dc.identifier.issn | 0797-6410 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12008/5821 | - |
dc.description.abstract | A natural way to avoid the injection of potentially dangerous or illicit products in a certain country is by means of protection, following a strict portof- entry inspection policy. A naive exhaustive manual inspection is the most secure policy. However, the number of within containers allows only to check a limited number of containers by day. As a consequence, a smart port-ofentry selection policy must trade cost of inspection with security, in order to fit into the dynamic operation of a port. We explore the design of port-of-entry container inspection policies with imperfect information (unavailable or untrusted data). Starting from an a-priori classification provided by port-of-entry customs operator, a combinatorial optimization problem is introduced. The goal is to match an a-priori container classification with a logically coherent one, subject to a given level of container inspection. Inspired in the related literature, a novel Multi-Tree committee is introduced in order to find a solution to the previous combinatorial problem. It combines the strength of binary decision trees and minimization of logical functions. The algorithm is easy-to-handle and useful for an on-line production. We highlight the effectiveness of our proposal, regarding real traces available from the port of Montevideo. The results show the capability to detect the most risky containers and its conservative nature, respecting any desired level of inspection. | es |
dc.format.extent | 24 p. | es |
dc.format.mimetype | aplication/pdf | - |
dc.language.iso | en | es |
dc.publisher | UR.FI-INCO | es |
dc.relation.ispartof | Reportes Técnicos 15-13 | - |
dc.rights | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
dc.subject | Inspection policy | es |
dc.subject | Multi-tree committee | es |
dc.subject | Risk analysis | es |
dc.subject | Port-of-entry | es |
dc.subject | Binary decision tree | es |
dc.title | A Multi-Tree Committee to Assist Port-of-entry Inspection Decisions | es |
dc.type | Reporte técnico | es |
dc.contributor.filiacion | Romero Pablo, Universidad de la República (Uruguay). Facultad de Ingenieria. | - |
dc.contributor.filiacion | Graneri Jorge, Universidad de la República((Uruguay). Facultad de Ingenieria. | - |
dc.contributor.filiacion | Viera Omar, Universidad de la República (Uruguay). Facultad de Ingenieria. | - |
dc.contributor.filiacion | Moscatelli Sandro, Universidad de la República((Uruguay). Facultad de Ingenieria. | - |
dc.contributor.filiacion | Tansini Libertad, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
dc.rights.licence | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC BY-NC-ND 4.0) | - |
Aparece en las colecciones: | Reportes Técnicos - Instituto de Computación |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | ||
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TR1513.pdf | 262,95 kB | Adobe PDF | Visualizar/Abrir |
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