Fuzzy Decision Rule Construction using Fuzzy Decision Trees: Application to E-Learning Database

William Jones, M.J Beynon

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    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 languageEnglish
    Title of host publicationChapter 7 - Soft Computing Applications for Database Technologies
    Subtitle of host publicationTechniques and Issues
    EditorsK. Anbumani , R. Nedunchezhian
    PublisherIGI Global
    Pages104-124
    ISBN (Electronic)9781605668154
    ISBN (Print)9781605668147
    DOIs
    Publication statusPublished - 1 Jun 2010

    Keywords

    • e-learning
    • fuzzy decision trees
    • decision tree analysis

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