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

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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: Conference proceedings, "Notes on IFS", Volume 15 (2009) Number 2, pages 33—36
Download:  PDF (185  Kb, 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:
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  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.
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  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).
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