Fuzzy SLIQ Decision Tree Algorithm

Traditional decision tree algorithms face the problem of having sharp decision boundaries which are hardly found in any real-life classification problems. A fuzzy supervised learning in Quest (SLIQ) decision tree (FS-DT) algorithm is proposed in this paper. It is aimed at constructing a fuzzy decisi...

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Bibliographic Details
Published in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics Vol. 38; no. 5; pp. 1294 - 1301
Main Authors:	Chandra, B., Varghese, P.P.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.10.2008
Subjects:	Algorithms Boundaries Classification Classification tree analysis Clouds Computer Simulation Construction Crisps Decision Support Techniques Decision trees Fuzzy fuzzy decision tree Fuzzy Logic fuzzy membership function Fuzzy set theory Gini index Machine learning Machine learning algorithms Models, Theoretical Partitioning algorithms Pattern classification Pattern Recognition, Automated - methods Supervised learning fuzzy decision tree fuzzy membership function Gini index Classification
ISSN:	1083-4419, 1941-0492, 1941-0492
Online Access:	Get full text
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