Abstract
This chapter considers the soft computing approach called fuzzy decision trees (FDT), a form of classification analysis. The consideration of decision tree analysis in a fuzzy environment brings further interpretability and readability to the constructed 'if.. then..' decision rules. Two sets of FDT analyses are presented, the first on a small example data set, offering a tutorial on the rudiments of one FDT technique. The second FDT analysis considers the investigation of an e-learning database, and the elucidation of the relationship between weekly online activity of students and their final mark on a university course module. Emphasis throughout the chapter is on the visualization of results, including the fuzzification of weekly online activity levels of students and overall performance.
Original language | English |
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Title of host publication | Chapter 7 - Soft Computing Applications for Database Technologies |
Subtitle of host publication | Techniques and Issues |
Editors | K. Anbumani , R. Nedunchezhian |
Publisher | IGI Global |
Pages | 104-124 |
ISBN (Electronic) | 9781605668154 |
ISBN (Print) | 9781605668147 |
DOIs | |
Publication status | Published - 1 Jun 2010 |
Keywords
- e-learning
- fuzzy decision trees
- decision tree analysis