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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Communication dans un congrès
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Jul 2017, Napoli, Italy. IEEE, pp.1-6, 2017, 〈10.1109/FUZZ-IEEE.2017.8015740〉
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http://hal.upmc.fr/hal-01555255
Contributeur : Christophe Marsala <>
Soumis le : lundi 3 juillet 2017 - 20:35:08
Dernière modification le : vendredi 26 janvier 2018 - 11:46:25

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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. IEEE, pp.1-6, 2017, 〈10.1109/FUZZ-IEEE.2017.8015740〉. 〈hal-01555255〉

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