dor_id: 4143008

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510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation

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336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

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

351.#.#.a: Artículos

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270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

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270.#.#.d: MX

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883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

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850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/1423/961

100.1.#.a: Obeidat, Mohammed Said; Ababneh, Wiam; Al Theeb, Nader

524.#.#.a: Obeidat, Mohammed Said, et al. (2023). The Preference Selection Index Performance in Large Alternatives’ Decisions to Support the AHP: The Case of a University Selection. Journal of Applied Research and Technology; Vol. 21 Núm. 1, 2023; 56-72. Recuperado de https://repositorio.unam.mx/contenidos/4143008

245.1.0.a: The Preference Selection Index Performance in Large Alternatives’ Decisions to Support the AHP: The Case of a University Selection

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

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

264.#.0.c: 2023

264.#.1.c: 2023-02-27

653.#.#.a: Multi-criteria Decision Making; Preference Selection Index; Analytical hierarchy Process; Graduate Program Admission; Sensitivity Analysis; Industrial Engineering

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: eng

520.3.#.a: Two multi-criteria decision making approaches were implemented in this paper for selecting a U.S. university considering the industrial engineering doctorate degree as a case study. The Preference Selection Index (PSI) and the Analytical Hierarchy Process (AHP) were these approaches. A total of 37 universities and 20 attributes were considered. The attributes were related to the university reputation, location, financial, and ease of admission. In this paper, the PSI model was initially constructed and its results were adopted in the AHP model. Data of this paper were obtained from the US News and World Report, Times Higher Education (THE) and other well-known organizations. Results proved that the PSI approach could be used in decisions with large number of alternatives and attributes, and the PSI model was able in making the AHP model requirements easier, by reducing the criteria and alternatives. In both the PSI and the AHP models, the university reputation had the highest preferences of students, followed by the ease of admission, financial and then location. Sensitivity analyses for the PSI and AHP models were performed to evaluate the accuracy of the results. Results of this study could be applied in other students’ disciplines for finding a suitable university.

773.1.#.t: Journal of Applied Research and Technology; Vol. 21 Núm. 1 (2023); 56-72

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

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

310.#.#.a: Bimestral

300.#.#.a: Páginas: 56-72

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

doi: https://doi.org/10.22201/icat.24486736e.2023.21.1.1423

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

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Artículo

The Preference Selection Index Performance in Large Alternatives’ Decisions to Support the AHP: The Case of a University Selection

Obeidat, Mohammed Said; Ababneh, Wiam; Al Theeb, Nader

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

Obeidat, Mohammed Said, et al. (2023). The Preference Selection Index Performance in Large Alternatives’ Decisions to Support the AHP: The Case of a University Selection. Journal of Applied Research and Technology; Vol. 21 Núm. 1, 2023; 56-72. Recuperado de https://repositorio.unam.mx/contenidos/4143008

Descripción del recurso

Autor(es)
Obeidat, Mohammed Said; Ababneh, Wiam; Al Theeb, Nader
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
The Preference Selection Index Performance in Large Alternatives’ Decisions to Support the AHP: The Case of a University Selection
Fecha
2023-02-27
Resumen
Two multi-criteria decision making approaches were implemented in this paper for selecting a U.S. university considering the industrial engineering doctorate degree as a case study. The Preference Selection Index (PSI) and the Analytical Hierarchy Process (AHP) were these approaches. A total of 37 universities and 20 attributes were considered. The attributes were related to the university reputation, location, financial, and ease of admission. In this paper, the PSI model was initially constructed and its results were adopted in the AHP model. Data of this paper were obtained from the US News and World Report, Times Higher Education (THE) and other well-known organizations. Results proved that the PSI approach could be used in decisions with large number of alternatives and attributes, and the PSI model was able in making the AHP model requirements easier, by reducing the criteria and alternatives. In both the PSI and the AHP models, the university reputation had the highest preferences of students, followed by the ease of admission, financial and then location. Sensitivity analyses for the PSI and AHP models were performed to evaluate the accuracy of the results. Results of this study could be applied in other students’ disciplines for finding a suitable university.
Tema
Multi-criteria Decision Making; Preference Selection Index; Analytical hierarchy Process; Graduate Program Admission; Sensitivity Analysis; Industrial Engineering
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces