A novel composition forecasting model based on choquet integral with respect to L-measure and O-density

Hsiang Chuan Liu, Bai Cheng Jeng, Yen Kuei Yu, Shang Ling Ou, Yih Chang Ou, Hsien Chang Tsai

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Advanced Manufacturing Technology
發行者Trans Tech Publications Ltd
頁面1245-1248
頁數4
ISBN(列印)9783037853702
DOIs
出版狀態Published - 2012
事件3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012 - Xiamen, China
持續時間: 2012 三月 272012 三月 29

出版系列

名字Advanced Materials Research
472-475
ISSN(列印)1022-6680

Other

Other3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012
國家China
城市Xiamen
期間12-03-2712-03-29

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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