Ranking of the Academic Departments of the Autonomous University of Aguascalientes

• R. Esparza, Luz Judith ^[1]
  1. [1] Universidad Autónoma de Aguascalientes

     Universidad Autónoma de Aguascalientes

     México

     
• Localización: BEIO, Boletín de Estadística e Investigación Operativa, ISSN 1889-3805, Vol. 37, Nº. 1, 2021, págs. 19-37
• Idioma: inglés
• Enlaces
  • Texto Completo Ejemplar
• Resumen

  • In this work, a ranking of the academic departments of the AutonomousUniversity of Aguascalientes is carried out. A network is built that de-scribes the interaction between departments considering the courses taughtin the undergraduate educational programs. Once the network is generated, three ranking algorithms are applied: conservative ranking ingraphs, weighted ranking in digraphs, and the analytical hierarchical process. The departments of Mathematics and Physics, Philosophy, Statisticsand Law are the best ranked according to a dominance criterion. We provide an analysis by academic units of the teaching balance in terms ofthe ranking and the differences when compared to global results. Thisresearch could be useful for decision-making aimed at institutional development.

• Referencias bibliográficas
  • Anderberg, M. R. (2014). Cluster Analysis for Applications: Probabilityand Mathematical Statistics: A Series of Monographs and Textbooks....
  • Aumann, R., and Myerson, R. (1988). Endogenous formation of links between players and of coalitions: An application of the Shapley value....
  • Borm, P., Van Den Brink, R., Slikker, M. (2002). An Iterative Procedurefor Evaluating Digraph Competitions. Annals of Operations Research,109,pp....
  • Cherchye, L., Ooghe, E., Van Puyenbroeck, T. (2008). Robust human development rankings. J Econ Inequal6, pp. 287?321 .
  • Criado R., Romance M., Sol´a L. (2014). Teoría de Perron-Frobenius: importancia, poder y centralidad. La Gaceta de la RSME,17(3), pp. 485-514.
  • Hastie, T., Tibshirani, R. and Friedman J. (2009). The Elements of Statistical Learning. Data Mining, Inference, and Prediction. Springer...
  • James G., Witten D., Hastie T., and Tibshirani R. (2017). An Introduction to Statistical Learning with Applications in R.Springer, New York...
  • Khanmohammadi, S., and Rezaeiahari, M. (2014). AHP Based Classification Algorithm Selection for Clinical Decision Support System Development....
  • Nawal Sael, Touria Hamim, Faouzia Benabbou. (2019). Implementation of the Analytic Hierarchy Process for Student Profile Analysis. International...
  • Myerson, R. B. (1977). Graphs and cooperation in games. Mathematics of Operations Research,2(3), pp. 225-229.
  • Rodríguez-Esparza, L. J., Barraza-Barraza, D. Salazar-Ibarra, J., y Vargas-Pasaye, R. G. (2019). Index of suicide risk in Mexico using Twitter....
  • Romo-Lozano, J. L., Zamudio-Sánchez, F. J., Martínez-Gómez, G.,Rodríguez-Esparza, L. J. (2018). Uso de un criterio de dominancia para seleccionar...
  • Saaty, T. (2003). Decision-Making with the AHP: Why is the principaleigenvector necessary.European Journal of Operational Research;145(1),pp....
  • Saaty, T. (2008). Decision making with the analytic hierarchy process. Int.J. Services Sciences,1(1), pp. 83-98.
  • Searle, S. R. (1982). Matrix algebra useful for statistics. Wiley Series in Probability and Mathematical Statistics. New York (USA).
  • Shapley, L. S. (1953). A Value forn-Person Games. En:Contributions tothe Theory of Games,volume II, H.W. Kuhn and A.W. Tucker (eds.), Princeton...
  • Sharpe, A., & Andrews, B.(2012). An Assessment of Weighting Methodo-logies for Composite Indicators: The case of the Index of Economic...