A fuzzy model for the diagnosis of low-achieving college students

Authors

  • Ramón De la Cruz Làzaro
  • Maritza Espinoza Limaylla
  • Roque Mizuno Inafuko
  • Marcos Sotelo Bedòn
  • Maria Vidaurre Gastelù

Keywords:

Fuzzy Logic, student assessment, linguistic variables, logic Boolean inference systems, rules of inference.

Abstract

One of the most complex tasks of a teacher is the accurate assessment of progress their students. The individual criteria in assessing the level of competition is a widely debated topic. The aim of this paper is to show a procedure for the diagnosis of students whose knowledge is insufficient to pass. It Two methodologies have been designed for this purpose. The logical rules to arrive at a recommendation or decisions were made on subjective criteria of expert teachers. The Treatment of these rules was raised with fuzzy logic and Boolean logic. Other study aims to compare the two methodologies to say which one is more convenient to use. It has been found that the fuzzy model provides better results than the Boolean model. The reasoning of teachers described in sets and fuzzy rules. The work is based on three variables labeled verbally: note the partial examination, practical note or group dynamics and average.

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Published

2011-12-30

Issue

Vol. 8 No. 2 (2011)

Section

Artículos

License

Copyright (c) 2011 Ramón De la Cruz Làzaro, Maritza Espinoza Limaylla, Roque Mizuno Inafuko, Marcos Sotelo Bedòn, Maria Vidaurre Gastelù

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How to Cite

[1]
“A fuzzy model for the diagnosis of low-achieving college students”, Rev.Investig.sist.inform., vol. 8, no. 2, pp. 37–44, Dec. 2011, Accessed: May 19, 2024. [Online]. Available: https://revistasinvestigacion.unmsm.edu.pe/index.php/sistem/article/view/6326