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Issue:Multifactor method of teaching quality estimation at universities with intuitionistic fuzzy evaluation

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Title of paper: Multifactor method of teaching quality estimation at universities with intuitionistic fuzzy evaluation
Author(s):
Maria Hristova
Higher School of Transport “Todor Kableshkov”, Sofia, Bulgaria
mhristova@vtu.bg
Evdokia Sotirova
Prof. Asen Zlatarov University, Bourgas-8000, Bulgaria
3CLBME - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria
esotirova@btu.bg
Presented at: 12th ICIFS, Sofia, 17—18 May 2008
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 14 (2008) Number 2, pages 80—83
Download:  PDF (151  Kb, File info)
Abstract: 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.
Keywords: Intuitionistic fuzzy sets, Modelling, Multifactor method, Teaching quality, E-learning
References:
  1. Atanassov K. Intuitionistic fuzzy sets, Springer Physica-Verlag, Berlin, 1999.
  2. M. Hristova, E. Sotirova, Generalized net model of the Multifactor method of teaching quality estimation at universities. IEEE-IS’08, (in press)
  3. 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.
  4. Jaap Scheerens, Cees Glas, Sally M. Thomas, “Educational Evaluation, Assessment and Monitoring: A Systemic Approach”, Swets & Zeitlinger, 2003.
  5. 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.
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  11. 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.
  12. 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.
  13. 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.
  14. 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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