Student qualification through fuzzy logic system

Authors

  • Iván Darío Gómez Araujo Universidad Industrial de Santander, Bucaramanga
  • Jabid Eduardo Quiroga Méndez Universidad Industrial de Santander, Bucaramanga
  • Neyid Jasbon Carvajal Universidad Industrial de Santander, Bucaramanga

DOI:

https://doi.org/10.26507/rei.v4n8.83

Keywords:

fuzzy Logic, student’s evaluation, fuzzy interference system

Abstract

A fuzzy inference system is implemented to perform student’s assessment in a course. The proposed system includes quantitative inputs i.e grades, assignments and qualitative inputs as the student’s motivation.

The algorithm incorporates a methodology for generation of fuzzy rules via fuzzy arithmetic,weighted fuzzy average and the distance among fuzzy sets. The proposed fuzzy system can be used in any

course and it produces a scalar as output which represents the final grade. The methodology is developed using Matlab® and it is validated using different assessment scenarios to demonstrate that the proposed

fuzzy system is reliable and robust to decide the approval of a course.

Downloads

Download data is not yet available.

Author Biographies

Iván Darío Gómez Araujo, Universidad Industrial de Santander, Bucaramanga

Jabid Eduardo Quiroga Méndez, Universidad Industrial de Santander, Bucaramanga

Neyid Jasbon Carvajal, Universidad Industrial de Santander, Bucaramanga

References

Bandemer, H. y Gottwald, S. Fuzzy Sets, (1996). Fuzzy Logic, Fuzzy Methods with Applications. New York: Jhon Wiley and Sons. 50.

Biswas, R., (1995). An application of fuzzy sets in students’ evaluation, Fuzzy sets and systems, Vol. 74. 187 -194.

Chen, S. and Lee, C. (1999). New methods for students’ evaluation using fuzzy sets, Fuzzy sets and systems, Vol. 104. 209 -218

Holgado C. (1995). Controladores en lógica borrosa. Servicio de Publicaciones de la Universidad de Cadiz. ISBN: 84-7786-248-6. 65.

Jones, A., Kaufmann, A. y Zimmermann, H.J. (1986). Fuzzy Sets Theory and Applications, D. Reidel Publishing Company y NATO ASI Series, series C: Mathematical and Physical Sciences. 177-403.

Mamdani, E.H. and S. Assilian (1975). An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-Machine Studies, Vol. 7, No. 1. 1-13

Martin del Brio, B. y Sanz, A. (1997). Redes neuronales y sistemas borrosos. Introducción teoría y práctica, Ra-ma editorial, Madrid. 387

Tee, A.B., Bowman, M.D., y Sinha, K.C. (1988). A fuzzy mathematical approach for bridge condition evaluation. Civil engineering System. 5,17-24

Trillas, E., Alsina, C., Terricabras, J. (1995). Introducción a la lógica borrosa, Editorial Ariel, Barcelona. 226.

Zadeh, L.A. (1965). Fuzzy sets, Inform. and Control, Vol. 8. 338-353

Zimmermann, H.J. (1996). Fuzzy set theory and Applications, third edition, Kluwer academic publisher, Boston. 435

Published

2009-12-15

How to Cite

Gómez Araujo, I. D., Quiroga Méndez, J. E., & Jasbon Carvajal, N. (2009). Student qualification through fuzzy logic system. Revista Educación En Ingeniería, 4(8), 49–56. https://doi.org/10.26507/rei.v4n8.83

Issue

Section

Quality

Altmetric

QR Code
Article metrics
Abstract views
Galley vies
PDF Views
HTML views
Other views
Crossref Cited-by logo