Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Advanced Manufacturing Technology |
| Pages | 1245-1248 |
| Number of pages | 4 |
| Volume | 472-475 |
| Publication status | Published - 2012 Mar 21 |
| Event | 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012 - Xiamen, China Duration: 2012 Mar 27 → 2012 Mar 29 |
Publication series
| Name | Advanced Materials Research |
|---|---|
| Volume | 472-475 |
| ISSN (Print) | 1022-6680 |
Other
| Other | 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012 |
|---|---|
| Country | China |
| City | Xiamen |
| Period | 12-03-27 → 12-03-29 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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A novel composition forecasting model based on choquet integral with respect to L-measure and O-density. / Liu, Hsiang Chuan; Jeng, Bai Cheng; Yu, Yen Kuei; Ou, Shang Ling; Ou, Yih Chang; Tsai, Hsien-Chang.
Advanced Manufacturing Technology. Vol. 472-475 2012. p. 1245-1248 (Advanced Materials Research; Vol. 472-475).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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
PY - 2012/3/21
Y1 - 2012/3/21
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
M3 - Conference contribution
AN - SCOPUS:84863292752
SN - 9783037853702
VL - 472-475
T3 - Advanced Materials Research
SP - 1245
EP - 1248
BT - Advanced Manufacturing Technology
ER -