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Issue:Generalized net model of the students' knowledge assessments using multilayer perceptron with intuitionistic fuzzy estimations

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Title of paper: Generalized net model of the students' knowledge assessments using multilayer perceptron with intuitionistic fuzzy estimations
Author(s):
I. Dimitrov
“Prof. Asen Zlatarov” University, Bourgas 8010, Bulgaria
I. Jonova
“Prof. Asen Zlatarov” University, Bourgas 8010, Bulgaria
V. Bineva
“Prof. Asen Zlatarov” University, Bourgas 8010, Bulgaria
Evdokia Sotirova
“Prof. Asen Zlatarov” University, Bourgas 8010, Bulgaria
esotirova@btu.bg
Sotir Sotirov
“Prof. Asen Zlatarov” University, Bourgas 8010, Bulgaria
Presented at: 11th IWGN, Sofia, 5 December 2010
Published in: Conference proceedings, pages 27—33
Download: Download-icon.png PDF (250  Kb, Info)
Abstract: The paper presents a generalized net model of the multilayer perceptron (MLP) 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: Generalized Net, Intuitionistic Fuzzy Sets, Multilayer Perceptron, e-Learning.
References:
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  2. Atanassov, K. On Generalized Nets Theory. Prof. M. Drinov Academic Publ. House, Sofia, 2007.
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  7. 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.
  8. 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.
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  10. 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.
  11. 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 Problеm 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.
  12. 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).
  13. 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.
  14. Sotirov, S., D. Orozova, E. Sotirova, Neural network for defining intuitionistic fuzzy sets in e-learning, Тhirteen Int. Conf. on IFSs, Sofia, NIFS Vol. 15, 2009, 33-36.
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