Name
Abstract | ||
|---|---|---|
Course evaluation is an important and necessary means to improve the level of course. A new course evaluation method based on fractional grey relational distance and analytic hierarchy process (AHP) is proposed in this paper. Firstly, the proportion of the different influence factors can be determined through constructing judging-matrix and calculating-back-to-one and dealing with the checkout of coherence. Secondly, qualitative evaluation indicators are quantified by fractional-order system, and quantitative indicators are processed by idealization and normalization. And then association coefficient is defined. Finally, correlation distance degree is proposed. The new similarity degree reflects the relatedness and the different shape among a selected scheme, the ideal solution and negative ideal solution. Through the application to actual course assessment instance, the results show its practicability and effectiveness. © 2011 ACADEMY PUBLISHER. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.4304/jsw.6.10.2016-2022 | JSW |
Keywords | Field | DocType |
analytic hierarchy process,euclidean distance,fractional,grey relational analysis,ideal solution | Data mining,Normalization (statistics),Computer science,Grey relational analysis,Idealization,Artificial intelligence,Course evaluation,Analytic hierarchy process,Mathematical optimization,Euclidean distance,Ideal solution,Coherence (physics),Machine learning | Journal |
Volume | Issue | Citations |
6 | 10 | 3 |
PageRank | References | Authors |
0.46 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunna Zhao | 1 | 31 | 5.53 |
| Yu Zhao | 2 | 3 | 2.49 |
| Ying-Shun Li | 3 | 4 | 1.18 |
| Liming Luo | 4 | 8 | 4.41 |