@inbook{c11f2459c723482db520ab09f1457be8,
title = "Fuzzy Decision Rule Construction using Fuzzy Decision Trees: Application to E-Learning Database",
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.",
keywords = "e-learning, fuzzy decision trees, decision tree analysis",
author = "William Jones and M.J Beynon",
year = "2010",
month = jun,
day = "1",
doi = "10.4018/978-1-60566-814-7.ch007",
language = "English",
isbn = "9781605668147",
pages = "104--124",
editor = "{Anbumani }, K. and R. Nedunchezhian",
booktitle = "Chapter 7 - Soft Computing Applications for Database Technologies",
publisher = "IGI Global",
address = "United States",
}