TY - GEN
T1 - A novel composition forecasting model based on choquet integral with respect to L-measure and O-density
AU - Liu, Hsiang Chuan
AU - Jeng, Bai Cheng
AU - Yu, Yen Kuei
AU - Ou, Shang Ling
AU - Ou, Yih Chang
AU - Tsai, Hsien Chang
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - In this paper, based on L-measure and O-density, a novel composition forecasting model is proposed. For evaluating this new composition forecasting model, a real data experiment by using the sequential mean square error was conducted. Based on O-density, the performances of Choquet integral composition forecasting model with the L-measure, Lambda-measure and P-measure, respectively, a ridge regression composition forecasting model and a multiple linear regression composition forecasting model and the traditional linear weighted composition forecasting model were compared. Experimental results show that the Choquet integral composition forecasting model with respect to the L-measure outperforms other 5 composition forecasting models.
AB - In this paper, based on L-measure and O-density, a novel composition forecasting model is proposed. For evaluating this new composition forecasting model, a real data experiment by using the sequential mean square error was conducted. Based on O-density, the performances of Choquet integral composition forecasting model with the L-measure, Lambda-measure and P-measure, respectively, a ridge regression composition forecasting model and a multiple linear regression composition forecasting model and the traditional linear weighted composition forecasting model were compared. Experimental results show that the Choquet integral composition forecasting model with respect to the L-measure outperforms other 5 composition forecasting models.
UR - http://www.scopus.com/inward/record.url?scp=84863292752&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863292752&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/amr.472-475.1245
DO - 10.4028/www.scientific.net/amr.472-475.1245
M3 - Conference contribution
AN - SCOPUS:84863292752
SN - 9783037853702
T3 - Advanced Materials Research
SP - 1245
EP - 1248
BT - Advanced Manufacturing Technology
PB - Trans Tech Publications Ltd
T2 - 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012
Y2 - 27 March 2012 through 29 March 2012
ER -