Integration of fuzzy classifiers with decision trees
Resource
Fuzzy Systems Symposium, 1996. 'Soft Computing in Intelligent Systems and Information Processing'., Proceedings of the 1996 Asian
Journal
Fuzzy Systems Symposium, 1996. 'Soft Computing in Intelligent Systems and Information Processing'.
Pages
-
Date Issued
1996-12
Date
1996-12
Author(s)
Chiang, I-Jen
Hsu, Jane Yung-Jen
DOI
N/A
Abstract
It is often difficult to make accurate predictions, given uncertain and noisy data for classification. Unfortunately, most real-world problems have to deal with such imperfect data. This paper presents a new model for fuzzy classification by integrating fuzzy classifiers with decision trees. In this approach, a fuzzy classification tree is constructed from the training data set. Instead of defining a specific class for a given instance, the proposed fuzzy classification scheme computes its degree of possibility for each class. The performance of the system is evaluated by empirically compared with a standard decision tree classifier C4.5 on several benchmark data sets from the UCI machine learning repository.
SDGs
Type
journal article
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