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Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/76357
Title: Fuzzy Decision Tree dengan Algoritme ID3 pada Data Diabetes
Authors: F. Romansyah
I. S. Sitanggang
S. Nurdiati
Issue Date: 2009
Abstract: Decision tree is one of widely used methods in developing classification models, In Order to handle uncertainty, fuzzy approach is used. This work applied a classification technique using fuzzy decission tree method on diabetes dataset to obtasin classification rules for predicting new data. Fuzzy ID3 (fuzzy Iterative Dichotomiser 3) was used to develop fuzzy tree with the bighest accurasy 94,15 % for fuzziness control threshold ....
URI: http://repository.ipb.ac.id/handle/123456789/76357
ISSN: 1942-9703
Appears in Collections:Faculty of Mathematics and Natural Sciences

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