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.
|Title of host publication||Chapter 7 - Soft Computing Applications for Database Technologies|
|Subtitle of host publication||Techniques and Issues|
|Editors||K. Anbumani , R. Nedunchezhian|
|Publication status||Published - 1 Jun 2010|
- fuzzy decision trees
- decision tree analysis