| Title of paper:
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Multifactor method of teaching quality estimation at universities with intuitionistic fuzzy evaluation
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| Author(s):
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| Maria Hristova
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| Higher School of Transport “Todor Kableshkov”, Sofia, Bulgaria
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| mhristova@vtu.bg
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| Evdokia Sotirova
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Prof. Asen Zlatarov University, Bourgas-8000, Bulgaria
3CLBME - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria
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| esotirova@btu.bg
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| Presented at:
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12th ICIFS, Sofia, 17—18 May 2008
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| Published in:
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Conference proceedings, "Notes on IFS", Volume 14 (2008) Number 2, pages 80—83
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| Download:
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 PDF (151 Kb, Info)
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| Abstract:
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The paper is related to the algorithmization of multi-factor method used to estimate the teaching quality at universities. The evaluation methods and procedures suggested in the paper are intended to make experts’ evaluations as objective as possible. The intuitionistic fuzzy estimation used to describe the process of evaluation.
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| Keywords:
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Intuitionistic fuzzy sets, Modelling, Multifactor method, Teaching quality, E-learning
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| References:
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- Atanassov K. Intuitionistic fuzzy sets, Springer Physica-Verlag, Berlin, 1999.
- M. Hristova, E. Sotirova, Generalized net model of the Multifactor method of teaching quality estimation at universities. IEEE-IS’08, (in press)
- Berestneva, O.G., Maroukhina, O.V., Sharopin, K.A., “Evaluation of quality education on the basis of modern information technologies”. IEEE International Conference on Artificial Intelligence Systems ICAIS 2002, Divnomorskoe, Russia, 5-10 September, pp. 441-443, 2002.
- Jaap Scheerens, Cees Glas, Sally M. Thomas, “Educational Evaluation, Assessment and Monitoring: A Systemic Approach”, Swets & Zeitlinger, 2003.
- Feng, Chu, “Quantitative evaluation of university teaching quality - an application of fuzzy set and approximate reasoning”, Publisher Elsevier North-Holland, Inc., Amsterdam, The Netherlands, Volume 37, Issue 1, p.1-11, August 1990.
- Ho, William, Prasanta K. Dey, Helen E. Higson, Multiple criteria decision-making techniques in higher education. International Journal of Educational Management, (20), 5, pp.319- 337, 2006
- Hristova, M., Quantitative methods for evaluation and control of university education quality, PhD Thesis, Sofia, Bulgaria, 2007
- Hristova, M., Methods for forming and reduction of the criteria for evaluation and control the quality of education, Mechanical engineering and Mechanics knowledge, Economics and management series, TU Varna, pp.37-45, 2007
- Atanassov, K., G. Pasi and R. Yager. Intuitionistic fuzzy interpretations of multi-criteria multi-person and multi-measurement tool decision making. International Journal of Systems Science, Vol. 36, 2005, No. 14, 859-868.
- Yager, R. R., Non-numeric multi-criteria multi-person decision making, International Journal of Group Decision Making and Negotiation 2, 81-93, 1993.
- Shannon, A., D. Langova-Orozova, E. Sotirova, K. Atanassov, P. Melo-Pinto, T. Kim, Generalized Net Model for Adaptive Electronic Assessment, Using Intuitionistic Fuzzy Estimations, Computational Intelligence, Theory and Applications, Univ. of Dortmund, Germany, Computer Science I, Springer, 2005, 291-297.
- Melo-Pinto, P., T. Kim, K. Atanassov, E. Sotirova, A. Shannon and M. Krawczak, Generalized net model of e-learning evaluation with intuitionistic fuzzy estimations, Issues in the Representation and Processing of Uncertain and Imprecise Information, Warszawa, 2005, 241-249.
- Shannon, A., E. Sotirova, I. Petrounias, K. Atanassov, M. Krawszak, P. Melo-Pinto, T. Kim, Intuitionistic fuzzy estimations of teacher’s evaluation of student work, First International Workshop on Intuitionistic fuzzy sets, Generalized nets and Knowledge Engineering, Univ. of Westminster, London, UK, 2-6 September, 2006, 45-48.
- Shannon A., E. Sotirova, K. Atanassov, M. Krawczak, P. Melo-Pinto and T. Kim. Generalized net model of lecturers' evaluation of student work with intuitionistic fuzzy estimations. Second International Workshop on Intuitionistic Fuzzy Sets, Banska Bystrica, Slovakia, 3 Dec. 2006. In: Notes on Intuitionistic Fuzzy Sets, Vol. 12, 2006, No. 4, 22-28.
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