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Fuzzy decision rule construction using fuzzy decision trees: application to E-Learning database

Beynon, Malcolm James and Jones, Paul 2010. Fuzzy decision rule construction using fuzzy decision trees: application to E-Learning database. In: Anbumani, K. and Nedunchezhian, R. eds. Soft computing applications for database technologies: techniques and issues, Hershey, PA.: IGI Global, pp. 104-124. (10.4018/978-1-60566-814-7)

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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.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
L Education > L Education (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information: Premier Reference Source
Publisher: IGI Global
ISBN: 9781605668147
Related URLs:
Last Modified: 04 Jun 2017 03:38
URI: http://orca-mwe.cf.ac.uk/id/eprint/24020

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