Review of Fuzzy Decision Tree: An improved Decision Making Classifier

International Journal of Computer Science and Engineering
© 2014 by SSRG - IJCSE Journal
Volume 1 Issue 9
Year of Publication : 2014
Authors : Vinita A. Gupta, Sunita Soni

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How to Cite?

Vinita A. Gupta, Sunita Soni, "Review of Fuzzy Decision Tree: An improved Decision Making Classifier," SSRG International Journal of Computer Science and Engineering , vol. 1,  no. 9, pp. 1-5, 2014. Crossref, https://doi.org/10.14445/23488387/IJCSE-V1I9P106

Abstract:

Over the years, various methodologies have been investigated and proposed to deal with continuous or numeric data which is very common in any application. With the increasing popularity of fuzzy representation, researchers have proposed to utilize fuzzy logic in decision trees to deal with the situations. This paper presents a survey of current methodology to design FDT (Fuzzy Decision Tree), various issues and applications. The author conclude that fuzzy decision making using decision tree is an emerging technique in terms of applications and there is a enough scope of research in this area.

Keywords:

Continuous data, Decision tree, Fuzzy logic, Fuzzy decision tree, numeric data,

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