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336.#.#.a: Artículo

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351.#.#.b: Journal of Applied Research and Technology

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856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/434/430

100.1.#.a: López, C.; Salmeron, J.L.

524.#.#.a: López, C., et al. (2011). Ranking risks in ambient intelligence projects. Journal of Applied Research and Technology; Vol. 9 Núm. 03. Recuperado de https://repositorio.unam.mx/contenidos/45498

245.1.0.a: Ranking risks in ambient intelligence projects

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2011

264.#.1.c: 2011-12-01

653.#.#.a: AmI applications; risk management; multicriteria decision-making methodology; software development

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

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041.#.7.h: spa

520.3.#.a: At present, numerous ambient intelligent (AmI) applications are emerging which support current electronic and digital environments. Professionals develop each of them by means of projects. AmI application projects have certain features that make them different from other engineering projects. Moreover, a wide rage of risks are present in the whole project. Therefore, to increase these projects’ chances to be successful, it is necessary to manage their specific risks adequately. In order to support the work of those practitioners managing these threats, this research proposes a multicriteria decision-making methodology called Analytic Hierarchy Process. This technique will enable theprioritization of risks in AmI projects according to their level of threat.

773.1.#.t: Journal of Applied Research and Technology; Vol. 9 Núm. 03

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.22201/icat.16656423.2011.9.03.434

harvesting_date: 2023-11-08 13:10:00.0

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Artículo

Ranking risks in ambient intelligence projects

López, C.; Salmeron, J.L.

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

López, C., et al. (2011). Ranking risks in ambient intelligence projects. Journal of Applied Research and Technology; Vol. 9 Núm. 03. Recuperado de https://repositorio.unam.mx/contenidos/45498

Descripción del recurso

Autor(es)
López, C.; Salmeron, J.L.
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Ranking risks in ambient intelligence projects
Fecha
2011-12-01
Resumen
At present, numerous ambient intelligent (AmI) applications are emerging which support current electronic and digital environments. Professionals develop each of them by means of projects. AmI application projects have certain features that make them different from other engineering projects. Moreover, a wide rage of risks are present in the whole project. Therefore, to increase these projects’ chances to be successful, it is necessary to manage their specific risks adequately. In order to support the work of those practitioners managing these threats, this research proposes a multicriteria decision-making methodology called Analytic Hierarchy Process. This technique will enable theprioritization of risks in AmI projects according to their level of threat.
Tema
AmI applications; risk management; multicriteria decision-making methodology; software development
Idioma
spa
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces