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Conference Papers Year : 2017

Fuzzy Decision Tree and Fuzzy Gradual Decision Tree: Application to Job Satisfaction

Abstract

In this paper, a comparison of the behaviour of fuzzy decision trees and gradual fuzzy decision trees is presented in a real-world application in the context of labour economics. The aim of this study is on one hand to present, in a real case, the good property of interpretability of such decision trees. On the other hand, it shows the importance to take into account a graduality relation between attributes and the class during the construction of a fuzzy decision tree. The obtained results illustrate the differences between the two types of fuzzy decision trees.
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Dates and versions

hal-01555255 , version 1 (03-07-2017)

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Christophe Marsala, Maria Rifqi. Fuzzy Decision Tree and Fuzzy Gradual Decision Tree: Application to Job Satisfaction. 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul 2017, Napoli, Italy. pp.1-6, ⟨10.1109/FUZZ-IEEE.2017.8015740⟩. ⟨hal-01555255⟩
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