FUZZY SET THEORY BASED STUDENT EVALUATION
Zsolt Csaba Johanyák
2009
Abstract
The evaluation of students’ learning achievements contains in several cases a lot of decisions that are based on the expertise and the opinion of the evaluator. Often this opinion is from nature vague and therefore this field is a good application area for fuzzy set theory based supporting methods and software implementations. In this paper, a new method called FUSBE (Fuzzy Set Theory Based Evaluation) is presented. It supports the scoring and grading of the students allowing the evaluator to express his or her judgment by the means of fuzzy sets that are later aggregated using fuzzy arithmetic. The method is transparent and easy-to-implement.
References
- Biswas, R. (1995). An application of fuzzy sets in students' evaluation. Fuzzy Sets and System, 74(2), 187-194.
- Botzheim, J., Hámori, B., & Kóczy, L.T. (2001). Extracting trapezoidal membership functions of a fuzzy rule system by bacterial algorithm, 7th Fuzzy Days, Dortmund 2001, Springer-Verlag, 218-227.
- Chen, S. M., & Lee, C. H. (1999). New methods for students' evaluating using fuzzy sets. Fuzzy Sets and Systems, 104(2), 209-218.
- Gál, L., & Kóczy, L.T. (2008). Advanced Bacterial Memetic Algorithms, Acta Technica Jaurinensis, Series Intelligentia Computatorica, Vol. 1. No. 3., 225-243.
- Hládek, D., Vašcák, J., & Sincák, P. (2008). Hierarchical fuzzy inference system for robotic pursuit evasion task, in Proc. of the 6th International Symposium on Applied Machine Intelligence and Informatics (SAMI 2008), January 21-22, Herlany, Slovakia, 273-277.
- Kóczy, L. T. & Tikk, D. (2000). Fuzzy rendszerek, Typotex Kft., Budapest.
- Kovács, Sz. (2006). Extending the Fuzzy Rule Interpolation "FIVE" by Fuzzy Observation, Advances in Soft Computing, Computational Intelligence, Theory and Applications, Bernd Reusch (Ed.), S pringer Germany, 485-497.
- Mamdani, E. H. & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man Machine Studies, Vol. 7, 1-13.
- Nolan, J. R. (1998). An expert fuzzy classification system for supporting the grading of student writing samples. Expert Systems With Applications, 15, 59-68.
- Precup, R.E., Preitl S., Tar, J. K. , Tomescu, M. L., Takács, M., Korondi, P. Baranyi, P. (2008). Fuzzy control system performance enhancement by Iterative Learning Control. IEEE Transactions on Industrial Electronics, vol. 55, no. 9, 3461-3475.
Paper Citation
in Harvard Style
Csaba Johanyák Z. (2009). FUZZY SET THEORY BASED STUDENT EVALUATION . In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 53-58. DOI: 10.5220/0002312300530058
in Bibtex Style
@conference{icfc09,
author={Zsolt Csaba Johanyák},
title={FUZZY SET THEORY BASED STUDENT EVALUATION},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009)},
year={2009},
pages={53-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002312300530058},
isbn={978-989-674-014-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICFC, (IJCCI 2009)
TI - FUZZY SET THEORY BASED STUDENT EVALUATION
SN - 978-989-674-014-6
AU - Csaba Johanyák Z.
PY - 2009
SP - 53
EP - 58
DO - 10.5220/0002312300530058