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

Beynon, Malcolm James ORCID: https://orcid.org/0000-0002-5757-270X and Jones, Paul 2010. Fuzzy decision rule construction using fuzzy decision trees: application to E-Learning database. 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)

Full text not available from this repository.

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:	Publisher
Last Modified:	19 Oct 2022 10:20
URI:	https://orca.cardiff.ac.uk/id/eprint/24020

Citation Data

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item