KJCKorea
Journal Central

@article{ART002218292},
author={Kim Kisang and HYUNG IL CHOI},
title={Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2017},
volume={22},
number={4},
pages={33-39},
doi={10.9708/jksci.2017.22.04.033}

TY - JOUR
AU - Kim Kisang
AU - HYUNG IL CHOI
TI - Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition
JO - Journal of The Korea Society of Computer and Information
PY - 2017
VL - 22
IS - 4
PB - The Korean Society Of Computer And Information
SP - 33
EP - 39
SN - 1598-849X
AB - In this paper, we expand the process of classification to an ensemble of fuzzy decision tree. For indoor space recognition, many research use Boosted Tree, consists of Adaboost and decision tree. The Boosted Tree extracts an optimal decision tree in stages. On each stage, Boosted Tree extracts the good decision tree by minimizing the weighted error of classification. This decision tree performs a hard decision. In most case, hard decision offer some error when they classify nearby a dividing point. Therefore, We suggest an ensemble of fuzzy decision tree, which offer some flexibility to the Boosted Tree algorithm as well as a high performance. In experimental results, we evaluate that the accuracy of suggested methods improved about 13% than the traditional one.
KW - Indoor space recognition;Fuzzy Decision Tree;Boosted Tree;Adaboost;Super-pixel
DO - 10.9708/jksci.2017.22.04.033
ER -

Kim Kisang and HYUNG IL CHOI. (2017). Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition. Journal of The Korea Society of Computer and Information, 22(4), 33-39.

Kim Kisang and HYUNG IL CHOI. 2017, "Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition", Journal of The Korea Society of Computer and Information, vol.22, no.4 pp.33-39. Available from: doi:10.9708/jksci.2017.22.04.033

Kim Kisang, HYUNG IL CHOI "Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition" Journal of The Korea Society of Computer and Information 22.4 pp.33-39 (2017) : 33.

Kim Kisang, HYUNG IL CHOI. Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition. 2017; 22(4), 33-39. Available from: doi:10.9708/jksci.2017.22.04.033

Kim Kisang and HYUNG IL CHOI. "Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition" Journal of The Korea Society of Computer and Information 22, no.4 (2017) : 33-39.doi: 10.9708/jksci.2017.22.04.033

Kim Kisang; HYUNG IL CHOI. Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition. Journal of The Korea Society of Computer and Information, 22(4), 33-39. doi: 10.9708/jksci.2017.22.04.033

Kim Kisang; HYUNG IL CHOI. Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition. Journal of The Korea Society of Computer and Information. 2017; 22(4) 33-39. doi: 10.9708/jksci.2017.22.04.033

Kim Kisang, HYUNG IL CHOI. Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition. 2017; 22(4), 33-39. Available from: doi:10.9708/jksci.2017.22.04.033

Kim Kisang and HYUNG IL CHOI. "Ensemble of Fuzzy Decision Tree for Efficient Indoor Space Recognition" Journal of The Korea Society of Computer and Information 22, no.4 (2017) : 33-39.doi: 10.9708/jksci.2017.22.04.033