Name
Title | ||
|---|---|---|
Generalized Net Model for Adaptive Electronic Assessment, Using Intuitionistic Fuzzy Estimations |
Abstract | ||
|---|---|---|
A generalized net model with intuitionistic fuzzy estimations has been constructed in order to simulate electronic adaptive assessment of students. The final mark is determined on the basis of a set of such assessment units as the problem, the test, or the examination. Each assessment unit has been associated with weight coefficients, represented by intuitionistic fuzzy estimations, determining the unit's importance. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/3-540-31182-3_26 | Computational Intelligence, Theory and Applications |
Keywords | Field | DocType |
e-learning,generalized nets,intuitionistic fuzzy sets,knowledge estimations | E learning,Fuzzy logic,Artificial intelligence,Adaptive assessment,Machine learning,Mathematics | Conference |
ISSN | Citations | PageRank |
1615-3871 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anthony G. Shannon | 1 | 8 | 3.57 |
| Daniela Langova-Orozova | 2 | 2 | 2.87 |
| Evdokia Sotirova | 3 | 21 | 11.41 |
| Krassimir T. Atanassov | 4 | 364 | 47.07 |
| Pedro Melo-Pinto | 5 | 152 | 16.21 |
| Tae-Kyun Kim | 6 | 1987 | 129.30 |