Abstract
This paper presents type-2 fuzzy decision trees (T2FDTs) that employ type-2 fuzzy sets as values of attributes. A modified fuzzy double clustering algorithm is proposed as a method for generating type-2 fuzzy sets. This method allows to create T2FDTs that are easy to interpret and understand. To illustrate performace of the proposed T2FDTs and in order to compare them with results obtained for type-1 fuzzy decision trees (T1FDTs), two benchmark data sets, available on the internet, have been used. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Bartczuk, Ł., & Rutkowska, D. (2008). Type-2 fuzzy decision trees. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5097 LNAI, pp. 197–206). https://doi.org/10.1007/978-3-540-69731-2_20
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