Name
Title | ||
|---|---|---|
Fuzzy clustering analysis and multifactorial evaluation for students' imaginative power in physics problem solving |
Abstract | ||
|---|---|---|
This research details a fuzzy clustering analysis and multifactorial evaluation model. The purpose of the model is to classify imaginative power of students in physics problem solving. The three premise conditions using fuzzy clustering analysis model are determined. Four source traits of imaginative power from nine surface traits which are based on three principles of choosing surface traits were obtained. On the basis of this, the students are classified into four developmental levels according to the multifactorial evaluation model. In addition, three significant discrepancies of imaginative characteristics among the students are discussed. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1016/0165-0114(95)00111-5 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
fuzzy clustering | Fuzzy clustering,Fuzzy clustering analysis,Premise,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
78 | 1 | Fuzzy Sets and Systems |
Citations | PageRank | References |
5 | 1.90 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| P Heng Wang | 1 | 5 | 1.90 |
| Hsiao-Fan Wang | 2 | 278 | 27.24 |
| PM Bell | 3 | 5 | 1.90 |