Combination of Fuzzy C-Means, Xie-Beni Index, and Backpropagation Neural Network for Better Forecasting Result

Muttabik Fathul Lathief, Indah Soesanti, Adhistya Erna Permanasari

2019

Abstract

Accuracy is one of the performance parameters of a method. This study proposes a combination of Fuzzy C-Means (FCM) method with the Backpropagation (BP) method to improve the accuracy of forecasting results. The BP algorithm is a supervised learning algorithm which is have good performance for pattern recognition. FCM is one of the popular clustering methods. In some researches, FCM is more efficient and clustering results are better than other methods. However, FCM has a disadvantage that clustering results are affected by clustering configurations, such as the number of clusters. Therefore it is necessary to do cluster validation. One of popular cluster validation method is Xie-Beni (XB) index. In this paper, we propose a forecasting system by combining the validated FCM algorithm using the XB index method with the BP algorithm. Data are grouped using FCM and validated using XB to find the optimal number of clusters. Each cluster from the clustering result becomes the input of the BP neural network for forecasting. This research uses sales data of 49 types of products for 25 months

Paper Citation

in Harvard Style

Lathief M., Soesanti I. and Permanasari A. (2019). Combination of Fuzzy C-Means, Xie-Beni Index, and Backpropagation Neural Network for Better Forecasting Result.In Proceedings of the International Conference on Creative Economics, Tourism and Information Management - Volume 1: ICCETIM, ISBN 978-989-758-451-0, pages 72-77. DOI: 10.5220/0009858200720077

in Bibtex Style

@conference{iccetim19,
author={Muttabik Fathul Lathief and Indah Soesanti and Adhistya Erna Permanasari},
title={Combination of Fuzzy C-Means, Xie-Beni Index, and Backpropagation Neural Network for Better Forecasting Result},
booktitle={Proceedings of the International Conference on Creative Economics, Tourism and Information Management - Volume 1: ICCETIM,},
year={2019},
pages={72-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009858200720077},
isbn={978-989-758-451-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Creative Economics, Tourism and Information Management - Volume 1: ICCETIM,
TI - Combination of Fuzzy C-Means, Xie-Beni Index, and Backpropagation Neural Network for Better Forecasting Result
SN - 978-989-758-451-0
AU - Lathief M.
AU - Soesanti I.
AU - Permanasari A.
PY - 2019
SP - 72
EP - 77
DO - 10.5220/0009858200720077