Title
Fuzzy Clustering Analysis And Multifactorial Evaluation For Students' Imaginative Power In Physics Problem Solving
Keywords
Fuzzy clustering; Imaginative power; Multifactorial evaluation
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. © 1996 - Elsevier Science B.V. All rights reserved.
Publication Date
1-1-1996
Publication Title
Fuzzy Sets and Systems
Volume
78
Issue
1
Number of Pages
95-105
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/0165-0114(95)00111-5
Copyright Status
Unknown
Socpus ID
0039135628 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0039135628
STARS Citation
Wang, Heng and Bell, Pamela Mc Cauley, "Fuzzy Clustering Analysis And Multifactorial Evaluation For Students' Imaginative Power In Physics Problem Solving" (1996). Scopus Export 1990s. 2248.
https://stars.library.ucf.edu/scopus1990/2248