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Issue:Neural network for defining intuitionistic fuzzy sets in e-learning (2009)

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Title of paper: Neural network for defining intuitionistic fuzzy sets in e-learning
Author(s):
Sotir Sotirov
University “Prof. d-r Asen Zlatarov”, Burgas, Bulgaria
ssotirov@btu.bg
Evdokia Sotirova
CLBME - Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria
esotirova@btu.bg
Daniela Orozova
Free University of Burgas, Burgas-8000, Bulgaria
orozova@bfu.bg
Presented at: 13th ICIFS, Sofia, 9-10 May 2009
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 15 (2009) Number 2, pages 33—36
Download:  PDF (185  Kb, File info)
Abstract: The paper presents a neural network that evaluates the students’ answers based on defined set criterions. To be involved in practice there are used evaluation in intuitionistic fuzzy form about the students’ knowledge. This is proper to be used as a basic element for e-learning systems’ building.
Keywords: Intuitionistic fuzzy sets, Neural networks, e-Learning, Digital university
References:
  1. Atanassov, K., Intuitionistic Fuzzy Sets, Springer, Heidelberg, 1999
  2. Haykin, S. “Neural Networks: A Comprehensive Foundation”, Prentice Hall, N.J., 1999
  3. Bishop C. M., Neural networks for pattern recognition, Oxford university press, ISBN 0198538642, 2000
  4. M.T.Hagan, H.B.Demuth, M.Beale, “Neural Network Design”, PWS Publishing Company, Boston, 1996
  5. 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.
  6. Shannon, A., D. Langova-Orozova, E. Sotirova, I. Petrounias, K. Atanassov, M. Krawczak, P. Melo-Pinto, T. Kim. Generalized Net Modelling of University Processes. KvB Visual Concepts Pty Ltd, Monograph No. 7, Sydney, 2005.
  7. Shannon, A., K. Atanassov, E. Sotirova, D. Langova-Orozova, M. Krawczak, P. Melo-Pinto, I. Petrounias, T. Kim, Generalized Nets and Information Flow Within a University, Warszawa, 2007.
  8. Shannon, A., E. Sotirova, I. Petrounias, K. Atanassov, M. Krawczak, P. Melo-Pinto, T. Kim, Intuitionistic fuzzy estimations of lecturers’ evaluation of student work, First International Workshop on Intuitionistic Fuzzy Sets, Generalized Nets & Knowledge Engineering, University of Westminster, London, 6-7 September 2006, 44-47
  9. Shannon, A., E. Sotirova, I. Petrounias, K. Atanassov, M. Krawczak, P. Melo-Pinto, 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 December 2006, Notes on IFS, Vol. 12, 2006, No. 4, 22-28.
  10. Shannon, A., E. Sotirova, K. Atanassov, M. Krawczak, P. Melo-Pinto, T. Kim, Generalized Net Model for the Reliability and Standardization of Assessments of Student Problem Solving with Intuitionistic Fuzzy Estimations, Developments in Fuzzy Sets, Generalized Nets and Related Topics. Applications. Vol. 2, System Research Institute, Polish Academy of Science, 2008, 249-256.
  11. Shannon, A., E. Sotirova, K. Atanassov, M. Krawczak, T. Kim, Generalized Net Model of a Student’s Course Evaluation with Intuitionistic Fuzzy Estimations, Advanced Studies Contemporary Mathematics, Vol. 18 (2), 2009 (in press).
  12. Atanassov, K., Generalized Nets. World Scientific, 1991.
  13. Atanassov, K. On Generalized Nets Theory. Prof. M. Drinov Academic Publ. House, Sofia, 2007.
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